IFCS-2017 CONFERENCE PROGRAM AND BOOK OF ABSTRACTS
CONFERENCE OF THE INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES
THE CHALLENGE OF DATA SCIENCE IN THE ERA OF BIG DATA
AUGUST 8-10, 2017 TOKYO, JAPAN
JCS
Japanese Classification Society In cooperation with Japan National Tourism Organization and The Institute of Statistical Mathematics
IFCS-2017 Conference Program and Book of Abstracts
Conference of the International Federation of Classification Societies
The Challenge of Data Science in the Era of Big Data
August 8-10, 2017 Tokyo, JAPAN
IFCS-2017 Organizing Team Japanese Classification Society Tokai University International Federation of Classification Societies
Table of Contents
Sponsorship ...... 4 Organizing Team ...... 5 Conference Venue ...... 6 Site Map ...... 7 Social Program ...... 8 Scientific Program ...... 10 Program Detail ...... 14 Monday, August 7, 2017 ...... 14 Tuesday, August 8, 2017 ...... 14 Wednesday, August 9, 2017 ...... 22
Thursday, August 10, 2017 ...... 25 Abstracts ...... 29
3 Sponsorship Host
IFCS-2017 Organizing Team Japanese Classification Society Tokai University International Federation of Classification Societies
Cosponsor
Institute of Statistical Mathematics
Cooperating Organization
Japan National Tourism Organization
Supporters’ Organization
Japan Association for Consumer Studies Japan Institute of Marketing Science Japan Society for Fuzzy Theory and Intelligent Informatics Japan Society of Kansei Engineering Japan Marketing Research Association Japanese Association for Mathematical Sociology Japanese Association of Industrial / Organizational Psychology Japanese Federation of Statistical Science Associations Japanese Society of Applied Statistics Japanese Society of Computational Statistics The Behaviormetric Society The Biometric Society of Japan The Japan Statistical Society The Japan Association for Research on Testing The Japanese Psychological Association The Japanese Society for Quality Control The Operations Research Society of Japan
4 Organizing Team Local Organizer
Tadashi Imaizumi
Scientific Program Committee
Tadashi Imaizumi, SPC Chair Brian C. Franczak, CS Sadaaki Miyamoto, SPC Vice Chair, JCS Salvatore Ingrassia, CLADAG Yoshiro Yamamoto, LOC Chair Hans Kestler, GfKl Akinori Okada , IFCS President Éva Laczka, HSA-CMSG Maurizio Vichi, IFCS Past-President Sugnet Lubbe, SASA-MDAG Berthold Lausen, IFCS President-Elect Fionn Murtagh, BCS Christian Hennig, IFCS Secretary Mohamed Nadif, SFC Paul McNicholas, IFCS Publication Officer Heon Jin Park, KCS Nema Dean, IFCS Treasurer Józef Pociecha , SKAD Vladimir Batagelj, SSS Abderrahmane Sbihi, MCS Theodoros Chadjipantelis, GDSA José Fernando Vera, SEIO-AMyC Sonya Coleman, IPRCS Jeroen K. Vermunt, VOC José Gonclaves Dias, CLAD Patrick Groenen, IASC Delegate Carlos Cuevas Covarrubias, SoCCCAD
Local Organizing Committee
Yoshiro Yamamoto, LOC Chair Kosuke Okusa Takafumi Kubota Fumitake Sakaori Koji Kurihara Kumiko Shiina Masahiro Mizuta Akinobu Takeuchi Miki Nakai Makoto Tomita Junji Nakano Yuki Toyoda Atsuho Nakayama Hiroshi Yadohisa Makiko Oda Satoru Yokoyama Takuya Ohmori Christian Hennig (IFCS Secretary)
Secretariat
Fumitake Sakaori, Secretary-General Satoru Yokoyama, Assistant Secretary-General Makiko Oda, General Affairs
5 Conference Venue
The conference will be held on Takanawa campus of Tokai University. The campus is located in the commercial heart of Tokyo. In Takanawa, there is a famous Soto Zen Buddhist temple Sengaku-ji, where the famous Forty- seven Samurai and their lord are enshrined. Takanawa is also located near Shinagawa, one of transport hubs in Tokyo in public transportation. It is very easy to come to downtown in Tokyo by train and subway from Shinagawa, as well as to Osaka and Kyoto by Shinkansen (high speed train). There are direct connections from both Narita and Haneda International Airports to Shinagawa.
From Shinagawa Station
About 15 minutes' walk (red route in the map right). Take the Toei bus for Meguro Station. Get off at "Takanawa Keisatsusho Shirokane-Takanawa Station Mae" and then walk about 3 minutes from this bus stop.
From Sengakuji Station on the Toei Subway Asakusa Line
About 10 minutes' walk (blue route).
From Shirokane-Takanawa Station on the Sengakuji Station Tokyo-Metro Nanboku Line and Toei Subway Mita Line
About 8 minutes' walk (green route).
Conference Site The conference will be held at the Building 1, 2 and 4 of Tokai University Takanawa campus. These buildings are connected so you can move without going outside. Specifically, • Opening Ceremony, Plenary Invited sessions, Presidential Address, Award Session and Closing Ceremony will be held at the Hall, 1st floor of Building 2. Shinagawa Station • Special sessions and Contributed sessions will be held at room A to L in the Building 1 or 2. • Poster session will be held at the Student Hall, on the 2nd floor of Building 2. • The coffee breaks will be served at the Student Hall and room P, on the 2nd floor of Building 2. • Software demonstration and Book sales will be at room M. You can take a break in this room. • You can take lunch at the Dining hall, on the 1st basement floor of Building 4. Please purchase the meal ticket at the entrance of Dining hall on the day.
6 Site Map
1st Floor Entrance Building 2 Entrance Building 1
Hall
Room D Room C
Building 4 Room E
Room F
2nd Floor
Registration Desk 1st Basement Floor
Room Q Meeting Room Room P Room M Room L Student Hall Room K
Building 1 Building 2 Dining hall
Room G Room A Room H Building 4 Room I
Room B Room J Building 4
7 Social Program Welcome Reception
The conference welcome reception will be held on August 8th (17:30) at the Dining Hall in the conference site (1st basement floor of Building 4, see the map at page 5). It is free of charge for the participants and accompanying persons.
Conference Dinner (Toll event)
The conference dinner will be held on August 9th at Meiji Kinenkan. Meiji Jingu's banquet hall Meiji Kinenkan is a green oasis in the heart of Tokyo located near Omotesando, Aoyama, and Akasaka in a separate part of the Meiji Jingu Gaien, which is the outer gardens of the Meiji Shrine. The serene garden is suitable for Shinto weddings and banquets. It was the first wedding hall which offers a comprehensive range of services in Japan. The main hall is a place of historical interest since the drafts of the former Imperial Constitution and the Imperial House Act were discussed in the presence of the Meiji Emperor. In the conference dinner, we will have a small concert of “Hana-Temari”, the sister duo with flute and koto, Japanese harp. You can’t help but be enchanted by the sound of Hana-Temari from the moment you listen to them because of its beautiful mixture combined with Japanese and European traditional music playing Japanese koto, and European flute.
Optional Tour to Asakusa
We will have an optional small tour to Asakusa before the conference dinner. Asakusa is the center of Tokyo's Shitamachi area, where the full atmosphere of an old town remains. Main attraction is a very popular Buddhist temple Sensoji built in the 7th century. The temple is approached via the Nakamise, a shopping street providing a variety of traditional snacks and tourist souvenirs. The tour buses will leave at 15:15 at the conference venue. After the end of the dinner, we will serve two buses to Shinagawa station for tour participants.
8
Direct Transportation to Meiji Kinenkan
Dinner participants who do not attend the small tour Shinanomachi should go to the Meiji Kinenkan by public transportation. Meiji Kinenkan is located six Meiji Kinenkan kilometers to the north of the conference venue. From the conference venue, the following Aoyama-itchome route is recommended: Gaiemmae 1. Takanawa campus of Tokai University — Shirokane-Takanawa Station (8 minutes on foot) 2. Shirokane-Takanawa Station
— Yotsuya Station (10 minutes by the subway Nanboku Line) 3. Yotsuya Station — Shinanomachi Station Shirokane-Takanawa (2 minutes by the JR Sobu Line) 4. Shinanomachi Station — Meiji Kinenkan (3 minutes on foot) Sengakuji For the walking direction, see the map below.
Shinagawa
Shinanomachi station
Meiji Kinenkan
Also you can go to Meiji Kinenkan by 6 minutes walk from Aoyama-itchome station on the Ginza, Hanzomon, Oedo subway line, and Kokuritsu-kyogijo Station on the Oedo subway line.
9 Tuesday, August 8, 2017
Time Room A Room B Room C Room D Room E Room F Room G Room H Room I Room J Room K Room L from 8:30 Start Registration 9:00 - 9:30 Opening Ceremony Hall, 1F Building 2 9:30 - 10:15 Plenary Invited 01 Chair: Sadaaki Miyamoto Smart simulation and smart experimental design, Tomoyuki Higuchi Hall, 1F Building 2 10:15 - 10:45 Coffee Break (Student Hall, 2F Building 2) 10:45 - 12:25 SP01 SP02 SP03 SP04 SP05 SP06 SP07 SP08 SP09 SP10 CN01 CN02
Advances in Challenges in Changing Clustering Social Analysis of Cluster The cutting Judgment and Functional Contribut Contribut latent variable visualisation environment, with mixture implementati micro official validation: edge of decision making data ed session ed session modeling and new Models on based on statistics New biomedical analysis 01 02 classification challenges, analytic developments big data - new results by and issues I From responses latent bioinformatic classification methodologies methods for to data health analysis management
Organized by Chair: Sugnet Chair: Éva Chair: Paul Organzied by Chair: Chair: Chair: Yusuke Chair: Kazuhisa Chair: Yuko Chair: Chair: Salvatore Lubbe Laczka McNicholas Tetsuro Ogi Yasumasa Christian Matsui, Takemura Araki Atsuho Maura Ingrassia - and Michiko Baba Hennig Masahiro Nakayama Mezzetti Chair: Angela Watanabe - Nakatochi , Montanar Chair: Tetsuro Yuichi Ogi Shiraishi
12:25 - 13:15 Lunch Break 13:15 - 14:00 Plenary Invited 02 Chair: Józef Pociecha Mixture modelling of multivariate and / or longitudinal data: Arriving at insightful representations, Marieke E. Timmerman Hall, 1F Building 2 10 Time Room A Room B Room C Room D Room E Room F Room G Room H Room I Room J Room K Room L 14:00 - 14:10 Short Break 14:10 - 15:30 SP11 SP12 SP13 SP14 SP15 SP16 SP17 SP18 SP19 SP20 CN03 CN04 Cluster Leading-edge Classification Data mining Marketing Cluster Enumeration Advances in Recent Causal Contribut Contribut analysis and research of models in and data science I Analysis of algorithm sparse problems of big inference ed session ed session quantification clustering finance and visualization target data and data regression, data handling and related 03 04 and its business I I set in cluster science dimension in topics applications I benchmark reduction and official statistics data related repository I computations
Orgainized by Chair: Chair: Jozef Chair: Yoshiro Chair: Takeshi Chair: Iven Chair: Chair: Yuichi Chair: Hiroe Chair: Chair: Kei Chair: Shizuhiko Yasunori Endo Pociecha Yamamoto Moriguchi Van Mechelen Masahiro Mori Tsubaki Yutaka Kurakawa Mark De Nishisato - and Sadaaki Mizuta and Kano Rooij Chair: Pieter Miyamoto Shin-ichi Kroonenberg Minato
15:30 - 16:00 Coffee Break (Student Hall, 2F Building 2) 16:00 - 17:20 SP21 SP22 SP23 SP24 SP25 SP26 SP27 SP28 SP29 SP30 CN05 CN06 Perspectives Leading-edge Classification Data mining Marketing Cluster Bayesian Robustness Statistical issues Regulariza Contribut Contribut of contingency research of models in and data science II Analysis of inference and and active on clustering tion ed session ed session table analysis clustering finance and visualization target data model learning with and methods 05 06 and its business II II set in cluster selection logistic classification in applications benchmark models medical data II data analysis repository II
Organized by Chair: Chair: Jozef Chair: Koji Chair: Takeshi Chair: Iven Chair: Yutaka Chair: Yuan- Chair: Taerim Chair: Chair: Chair: M Shizuhiko Yasunori Endo Pociecha Kurihara Moriguchi Van Mechelen Kano chin Ivan Lee Patrick J.F. Takashi Miftahuddi Nishisato - and Sadaaki Chang Groenen Murakami n Chair: Eric Beh Miyamoto and Michel van de Velden 17:30 - 19:30 Welcome Reception (Dining Hall, B1F Building 4) 18:00 - 20:00 IFCS Council Meeting (Meeting room, 2F Building 1) 11 Wednesday, August 9, 2017
Time Room A Room B Room C Room D Room E Room F Room G Room H Room I 9:00 - 9:45 Plenary Invited 03 Chair: Paul McNicholas An overview of hybrid latent variable models and how they can be used to address outliers, flexible distributions of latent variables and issues of data dimensionality, Irini Moustaki Hall, 1F Building 2 9:45 - 9:55 Short Break 9:55 - 10:55 SP31 SP32 SP33 SP34 SP35 SP36 CN07 CN08 CN09 Bayesian Classification and New topics Clustering and BRCA data Issues in Contributed Contributed Contributed approach to representation for related to recommendation analysis classification with session 07 session 08 session 09 classification non metric and classification systems complex data symbolic Data I problems I structures (CLADAG)
Chair: Kazuo Chair: J. Fernando Chair: Yoshikazu Chair: Jean Diatta Organized by H. Chair: Francesco Chair: Kunihiro Chair: Daniel Chair: Shigemasu Vera and Eva Boj Terada, Michio H. Bock - Chair: Palumbo Kimura Baier Yasumasa Baba del Val Yamamoto and Hans A. Kestler Hiroshi Yadohisa 10:55 - 11:25 Coffee Break (Student Hall, 2F Building 2) 11:25 - 12:25 SP37 SP38 SP39 SP40 SP41 CN10 CN11 CN12 CN13 Classification of Classification and New topics Clustering and Cluster analysis Contributed Contributed Contributed Contributed (un)complex representation for related to classification in using non- session 10 session 11 session 12 session 13 data (CLAD) non metric and classification innovative data gaussian symbolic Data II problems II science mixtures
Chair: José G. Chair: J. Fernando Chair: Yoshikazu Chair: Fionn Chair: Brian Chair: Łukasz Chair: Shinobu Chair: Seong- Chair: Tsai- Dias Vera and Eva Boj Terada, Michio Murtagh Franczak Smaga Tatsunami Keon Lee Hung Fan del Val Yamamoto and Hiroshi Yadohisa 12:25 - 13:25 Lunch Break 13:25 - 14:10 Presidential Address Chair: Berthold Lausen Dissimilarity based on manner of dissimilarity/similarity to/from the others, Akinori Okada Hall, 1F Building 2 14:10 - 15:00 Award Session Chair: Yasumasa Baba Hall, 1F Building 2 15:15 - 21:00 Short Tour & Conference Dinner 12 Thursday, August 10, 2017
Time Room A Room B Room C Room D Room E Room F Room G Room H Room I Room J 9:00 - 9:45 Plenary Invited 04 Chair: Heon Jin Park Classification by quantiles, Cinzia Viroli Hall, 1F Building 2 9:45 - 10:30 Plenary Invited 05 Chair:Yoshiro Yamamoto Decisions that are needed when using cluster analysis, and research that helps with making them, Christian Hennig Hall, 1F Building 2 10:30 - 11:00 Coffee Break (Student Hall, 2F Building 2) 11:00 - 11:45 Poster Session Student Hall, 2F Building 2 11:45 - 12:35 Lunch Break 12:35 - 14:15 SP42 SP43 SP44 SP45 SP46 SP47 SP48 CN14 CN15 CN16 Advanced Survey data Analysis and Text classification Data Science, Methods of data Cluster Contributed Contributed Contributed technique for analysis clustering of classification analysis and validation: New session 14 session 15 session 16 analyzing (big) complicated and clustering statistical developments multi-set/multi- data measures in the and issues II subject data social sciences
Chair: Tom Chair: Ryozo Chair: Junji Organized by Chair: Berthold Chair: Theodore Organized by Chair: Chair: Noboru Chair: Wilderjans Yoshino Nakano Masakatsu Lausen Chadjipantelis Christian Hennig Masahiro Wakayama Guangliang Murakami - Chair: - Chair: Hans- Mizuta Chen Yuichiro Joachim Mucha Kobayashi
14:15 - 14:25 Short Break 14:25 - 15:15 Closing Ceremony Hall, 1F Building 2 13 Monday, August 7, 2017 13:30 - 18:00 Start Registration
Tuesday, August 8, 2017 8/8 from 8:30 Start Registration 8/8 9:00 - 9:30 Opening Ceremony (Hall, 1F Building 2) 8/8 9:30 - 10:15 Plenary Invited 01 Chair: Sadaaki Miyamoto (Hall, 1F Building 2) Smart simulation and smart experimental design, Tomoyuki Higuchi. 8/8 10:15 - 10:45 Coffee Break (Student Hall, 2F Building 2) 8/8 10:45 - 12:25 SP01: Advances in latent variable modeling - Organized by Salvatore Ingrassia - Chair: Angela Montanar (Room A) Latent markov factor analysis for exploring within-subject measurement model differences in experience sampling studies, Leonie V.D.E. Vogelsmeier, Jeroen K. Vermunt, and Kim De Roover. When factorial invariance fails: a new rotation approach for multigroup exploratory factor analysis to identify loading-specific differences, Kim De Roover and Jeroen K. Vermunt. Partial homogeneity models for temporal repeated cross-sectional latent class analysis, Brian Francis and Valmira Hoti. Hidden markov models for the analysis of longitudinal data through the LMest package, Francesco Bartolucci, Silvia Pandolfi and, Fulvia Pennoni. Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis, Vincent Vandewalle. 8/8 10:45 - 12:25 SP02: Challenges in visualisation and classification - Chair: Sugnet Lubbe (Room B) Determinants of survival risk factors for HIV/AIDS patients on ART in a developing country - accounting for clustering at facility level, Renette Julia Blignaut and Innocent Maposa. Challenges in visualising and imputing missing categorical data, Johané Nienkemper-Swanepoel, Sugnet Lubbe, and Niël le Roux. A visualization technique to identify critical variables in multivariate process monitoring, Niël Le Roux. Using the NSGA optimization algorithm for variable selection in spectral data classification: some lessons learnt, Martin Kidd and Martin Philip Kidd. Biplots based on principal surfaces, Raeesa Ganey. 8/8 10:45 - 12:25 SP03: Changing environment, new challenges, new responses - Chair: Éva Laczka (Room C) Estimation methods based on weighted cluster analysis, Roland Szilágyi, Beatrix Varga, and Renáta Géczi Papp. Using classification of regions based on the complexity of the global progress indices for supporting sustainable development, Anita Csesznák and Eva Sandor-Kriszt. Possibilities in welfare measures, Mónika Galambosné Tiszberger. A measuring and modelling way of multicollinearity with Petres' Red indicator, Peter Kovacs and Tibor Petres. Discussion, Masahiro Mizuta.
14 8/8 10:45 - 12:25 SP04: Clustering with mixture Models - Chair: Paul McNicholas (Room D) Mixtures of common t-factor analyzers for high-dimensional data with missing information, Wan-Lun Wang. Mixtures of skew-t factor analyzers with common factor loadings, Tsung-I Lin. Clustering of multivariate categorical data with dimension reduction via nonconvex penalized likelihood maximization, Michio Yamamoto. Subspace clustering with the multivariate-t distribution, Brian C Franczak. Fractionally-supervised classification using the weighted likelihood, Irene Vrbik. 8/8 10:45 - 12:25 SP05: Social implementation based on analytic results by latent classificatioin methods for health management - Organzied by Tetsuro Ogi and Michiko Watanabe - Chair : Tetsuro Ogi (Room E) Health management using digital signage and activity meter, Kenichiro Ito, Yusuke Kurita, and Tetsuro Ogi. The effect of an immersive analytical tool on the exploratory analysis of big data, Iwane Maida, Kenichiro Ito, So Sato, Shunichi Nomura, Tetsuya Toma, and Tetsuro Ogi. Classification of in-week and -day patterns in ambulatory activity and body composition change, Shunichi Nomura, Michiko Watanabe, and Yuko Oguma. Attempt to set a step count target by applying latent class analysis, Kotaro Ohashi, Michiko Watanabe, and Yuko Oguma. 8/8 10:45 - 12:25 SP06: Analysis of micro official statistics - Chair: Yasumasa Baba (Room F) Analysis of expenditure patters of virtual marriage households consisting of working couples synthesized by statistical matching method, Mikio Suga and Yasuo Nakatani. Visualization and spatial statistical analysis for Vietnam household living standard survey, Takafumi Kubota. The effects of natural disasters on household income and poverty in rural Vietnam : An analysis using Vietnam household living standards survey, Rui Takahashi. The influence of household assets on choice to work, Shinsuke Ito. The economic structure of rural areas in the mekong region countries: a comparative analysis of micro official statistics in Cambodia, Thailand, and Vietnam, Daisuke Sakata and Motoi Okamoto. 8/8 10:45 - 12:25 SP07: Cluster validation: New developments and issues I - Chair: Christian Hennig (Room G) Non-parametric methods for clusters: Estimation of the number of clusters and a comparison test, Andre Fujita. On model-based clustering under measurement uncertainty, Volodymyr Melnykov. Cluster validation in multicriterion data clustering, Julia Handl and Emiao Lu. Assessing model-based clustering methods with cytometry data sets, Gilles Celeux and Jean-Patrick Baudry. 8/8 10:45 - 12:25 SP08: The cutting edge of biomedical big data - From bioinformatic methodologies to data analysis - Chair: Yusuke Matsui, Masahiro Nakatochi ,Yuichi Shiraishi (Room H)
15 Classification of tree-valued data and its application to cancer evolutionary trees, Yusuke Matsui, Satoru Miyano, and Teppei Shimamura. Constructing cancer characteristic-specific gene regulatory networks via L1- type regularized regression modeling, Heewon Park, Teppei Shimamura, Seiya Imoto, and Satoru Miyano. Clinical classification of cancer subtypes based on gene mutations and expressions, Shuta Tomida. Association analysis among myocardial infarction, cardiovascular disease- related single nucleotide polymorphisms, and DNA methylation sites utilizing the cluster analysis, Masahiro Nakatochi, Sahoko Ichihara, Ken Yamamoto, Tatsuaki Matsubara, and Mitsuhiro Yokota. Latent probabilistic modeling for mutational signature in cancer genomes, Yuichi Shiraishi. 8/8 10:45 - 12:25 SP09: Judgment and decision making - Chair: Kazuhisa Takemura (Room I) Classification and visualization of eye movement data in judgment and decision making studies, Masahiro Morii. Image processing methods for gaze pattern analysis in marketing research, Jasmin Kajopoulos, Hajime Murakami, Keita Kawasugi, Marin Aikawa, and Kazuhisa Takemura. Probability weighting function and time discounting function in decision making: Theory and experimental analysis, Kazuhisa Takemura and Hajime Murakami. A utility model in intertemporal choice that is yielded by introducing psychological time duration, Yutaka Matsushita. Eye movement analysis using image processing methods: for gaze data during decision making between a pair of product images, Hajime Murakami, Keita Kawasugi, Jasmin Kajopoulos, Marin Aikawa, Tokihiro Ogawa, and Kazuhisa Takemura. 8/8 10:45 - 12:25 SP10: Functional data analysis - Chair: Yuko Araki (Room J) Selection of variables and decision boundaries in functional logistic regression model, Hidetoshi Matsui. Variable selection for classification of multivariate functional data, Tomasz Górecki and Waldemar Wołyński. Identifying changes in mean functions for a sequence of functional data, Jeng-Min Chiou. Semi-supervised learning for functional data, Yoshikazu Terada. 8/8 10:45 - 12:25 CN01: Contributed session 01 - Chair: Atsuho Nakayama (Room K) Hybrid feature selection method for high-dimensional data sets, Asma Gul, Zardad Khan, Werner Adler, and Berthold Lausen. Clustering by moving centroids using optimization heuristics, Mario A Villalobos-Arias, Juan José Fallas, and Jeffry Chavarria. Non-hierarchical clustering for large data without recalculating cluster center, Atsuho Nakayama and Shinji Deguchi. Supervised nested algorithm for classification based on k-means, Luciano Nieddu and Donatella Vicari. Morphological characterization of 3D shape with curvature flow-based spin transformation and spherical harmonics decomposition, Ryo Yamada, Fujii Yosuke, Kohei Suzuki, Ayako Iwasaki, Takuya Okada, and Kazushi Mimura. 8/8 10:45 - 12:25 CN02: Contributed session 02 - Chair: Maura Mezzetti (Room L)
16 Combining individual and aggregated data to investigate the role of socio- economic disparities on cancer burden in Italy, Maura Mezzetti and Francesca Dominici. Classification of Japanese graduate schools: in terms of educational practices and the grown globalization competencies by the policies, Taiyo Utsuhara, Masaki Uto, Asana Ishihara, Atsushi Yoshikawa and Maomi Ueno. Explanatory research of fashion behavior by bayesian network analysis, Keiko Yamaguchi and Hiroshi Kumakura. A statistical model for supporting AirB&B hosts activity, Giulia Contu, Luca Frigau, and Claudio Conversano. Information extraction and its visualization using the quantification method from Tweet information for a disaster, Takamitsu Funayama, Yoshiro Yamamoto, and Osamu Uchida. 8/8 12:25 - 13:15 Lunch Break 8/8 13:15 - 14:00 Plenary Invited 02 Chair: Józef Pociecha (Hall, 1F Building 2) Mixture modelling of multivariate and / or longitudinal data: Arriving at insightful representations, Marieke E. Timmerman. 8/8 14:00 - 14:10 Short Break 8/8 14:10 - 15:30 SP11: Cluster analysis and quantification - Organized by Shizuhiko Nishisato - Chair: Pieter Kroonenberg (Room A) Bi-modal clustering and quantification theory: Flexible-filter clustering of contingency and response-pattern tables. Part 1. Historical overview, Shizuhiko Nishisato and Jose Garcia Clavel. Bi-modal clustering and quantification theory: Flexible-filter clustering of contingency and response-pattern tables. Numerical demonstration of a proposed framework, Jose G Clavel and Shizuhiko Nishisato. Clustering methods for preference data in the presence of response styles, Mariko Takagishi, Michel van de Velden, and Hiroshi Yadohisa. Calculating neural reliability from EEG recordings of naturalistic stimuli, Pieter C. Schoonees and Niël J Le Roux. 8/8 14:10 - 15:30 SP12: Leading-edge research of clustering and its applications I - Chair: Yasunori Endo and Sadaaki Miyamoto (Room B) Generative learning with emergent self-organizing neuronal networks, Alfred Ultsch. Projection based clustering, Michael Christoph Thrun. Agglomerative hierarchical clustering with automatic selection of the number of clusters using AIC and BIC, Sadaaki Miyamoto. A convex analysis interpretation of fuzzy c-means, Yoshifumi Kusunoki. 8/8 14:10 - 15:30 SP13: Classification models in finance and business I - Chair: Jozef Pociecha (Room C) Clustering sum of type loans using fuzzy c-means algorithm method, Khoiru Nissa Apriliya and Hanif Novrandhita. Granular credit data classification with SVM based approaches, Ralf Werner Stecking. ABC analysis in corporate bankruptcy prediction, Barbara Pawełek, Józef Pociecha, and Mateusz Baryła. Benchmarking classification of stock performance by corporate performance measures - Insights from different modelling techniques, Karsten Luebke, Roland Wolf, and Sebastian Sauer.
17 8/8 14:10 - 15:30 SP14: Data mining and data visualization I - Chair: Yoshiro Yamamoto (Room D) Classification and visualization by self-organizing maps and hierarchical cluster analysis, Yo Kameoka and Yoshiro Yamamoto. Association rule analysis, and comparison of visualization by the quantification technique, Sanetoshi Yamada and Yoshiro Yamamoto. Visualizing citation networks for assessment of research performance in academic institutions, Tomokazu Fujino, Keisuke Honda, Hiroka Hamada, and Yoshiro Yamamoto. Credit scorecard development with support vector machines, Seohoon Jin and Marcel Eduard MBARGA. 8/8 14:10 - 15:30 SP15: Marketing science I - Chair: Takeshi Moriguchi (Room E) Analyze the health consciousness of yogurt buyers, Saya Yamada and Yumi Asahi. Compare of Taiwan import Japanese fruits and vegetables, Yukiya Suzuki and Yumi Asahi. An exploratory study on the clumpiness measure of inter-transaction times: How is it useful for customer relationship management?, Yuji Nakayama and Nagateru Araki. Proposal of the method to diagnose brand image and ability of a respondent by using reaction time and hierarchy model, Masao Ueda. 8/8 14:10 - 15:30 SP16: Cluster Analysis of target data set in cluster benchmark data repository I - Chair: Iven Van Mechelen (Room F) Introduction to the IFCS cluster benchmark data repository, the two challenges connected with it, and the target data set for the second challenge, Iven Van Mechelen. Clustering patients with non-specific low back pain, Hanneke van der Hoef. Report on cluster analysis of target data set in Cluster Benchmark Data Repository, Michael Greenacre. Medical back pain: A spectral clustering approach, Joey Fitch and Nazia Khan. 8/8 14:10 - 15:30 SP17: Enumeration algorithm and data science - Chair: Masahiro Mizuta and Shin-ichi Minato (Room G) Decision diagram-based enumeration techniques and applications for statistical data analysis, Shin-ichi Minato. Statistically significant pattern mining with applications to biology, Aika Terada. Cluster detection using spatial scan statistic and its new development in large-scale scanning, Fumio Ishioka and Koji Kurihara. Enumeration algorithms for political districting, Jun Kawahara, Takashi Horiyama, Keisuke Hotta, and Shin-ichi Minato. 8/8 14:10 - 15:30 SP18: Advances in sparse regression, dimension reduction and related computations - Chair: Yuichi Mori (Room H) Cardinality-constrained multiple regression with comparisons to lasso regression, Kohei Adachi and Henk A. L. Kiers. Tensor modeling and sliced inverse regression for tensor data, Su-Yun Huang. Initial value selection for the alternating least squares algorithm, Masahiro Kuroda, Yuichi Mori, and Masaya Iizuka.
18 8/8 14:10 - 15:30 SP19: Recent problems of big data handling in official statistics - Chair: Hiroe Tsubaki (Room I) A supervised multiclass classifier for the family income and expenditure survey, Kazumi Wada and Yukako Toko. The IPUMS approach to harmonizing the world's population census data, Matthew Sobek. A new statistical matching methodology using multinomial logistic regression and multivariate analysis, Isao Takabe and Satoshi Yamashita. Components of classification on secure computation, Koji Chida, Satoshi Takahashi, Satoshi Tanaka, Ryo Kikuchi, Dai Ikarashi, Ryota Chiba, and Kiyomi Shirakawa. 8/8 14:10 - 15:30 SP20: Causal inference and related topics - Chair: Yutaka Kano (Room J) A robust model selection criterion family and its application for the causal model, Sumito Kurata and Etsuo Hamada. Causal analysis with cyclic structural equation models, Mario Nagase. Identification and semiparametric adaptive estimation with nonignorable nonresponse data, Kosuke Morikawa and Jae-kwang Kim. A high-dimensional location-dispersion model with dependent error and its applications to WTA data analysis, Ching-Kang Ing. 8/8 14:10 - 15:30 CN03: Contributed session 03 - Chair: Kei Kurakawa (Room K) The accelerated hyperbolic smoothing sum-of-distances clustering method: New computational results for solving very large instances, Adilson Elias Xavier and Vinicius Layter Xavier. Similarity-reduced measures of diversity, François Bavaud. Tensor based author name disambiguation as a way of identifying authors, Kei Kurakawa and Yasumasa Baba. 8/8 14:10 - 15:30 CN04: Contributed session 04 - Chair: Mark De Rooij (Room L) Classification based on dissimilarities towards prototypes, Beibei Yuan, Willem Heiser, and Mark de Rooij. Three tales of linear regression, Mark De Rooij. How to cross the river? – New distance measures, Andrzej Sokołowski, Małgorzata Markowska, Sabina Denkowska, and Dominik Rozkrut. A data-driven method for deriving shorter DSM symptom criteria sets: The case for alcohol use disorder, Melanie Wall. 8/8 15:30 - 16:00 Coffee Break (Student Hall, 2F Building 2) 8/8 16:00 - 17:20 SP21: Perspectives of contingency table analysis - Organized by Shizuhiko Nishisato - Chair: Eric Beh and Michel van de Velden (Room A) Correspondence analysis of overdispersed data, Eric Beh and Rosaria Lombardo. Hybrid decomposition for three-way correspondence analysis with nominal- ordinal variables, Rosaria Lombardo, Eric J Beh, and Pieter M Kroonenberg. Inverse CA: retrieving a contingency table from a CA solution, Michel van de Velden, Wilco van de Heuvel, Hugo Galy, and Patrick J.F. Groenen. 8/8 16:00 - 17:20 SP22: Leading-edge research of clustering and its applications II - Chair: Yasunori Endo and Sadaaki Miyamoto (Room B) On robustness to outliers for two abstract fuzzy clustering optimization problems, Yuchi Kanzawa.
19 A comparative study on rough set-based k-means clustering, Seiki Ubukata, Keisuke Umado, Hiroki Kato, Akira Notsu, and Katsuhiro Honda. A note on fuzzified even-sized clustering based on optimization, Kei Kitajima. Two roles of cluster validity measures for clustering network data, Yukihiro Hamasuna, Ryo Ozaki, and Yasunori Endo. 8/8 16:00 - 17:20 SP23: Classification models in finance and business II - Chair: Jozef Pociecha (Room C) Statistical analysis of the economic growth of the Central and Eastern Europe countries, Eugeniusz Gatnar. Irrationality: A new type of error in econometric choice models?, Andreas Geyer-Schulz, Tino Fuhrmann, Marvin Schweizer, and Peter Kurz. Robust clusterwise autoregressive conditional heteroskedasticity, Pietro Coretto, Giuseppe Storti, and Michele La Rocca. Tail risk measurement and its application in finance, Krzysztof Jajuga. 8/8 16:00 - 17:20 SP24: Data mining and data visualization II - Chair: Koji Kurihara (Room D) Detecting genetic association through shortest paths in a bidirected graph, Masao Ueki. Statistical evaluation for spatial complexity based on echelon trees, Koji Kurihara, Shoji Kajinishi, and Fumio Ishioka. R shiny implementation of lasagna plot: interactive manipulation and visualization of longitudinal data, Wataru Sakamoto and Marina Kaneda. 8/8 16:00 - 17:20 SP25: Marketing science II - Chair: Takeshi Moriguchi (Room E) Generalization of relationship between tweets and products sales in case of new beverage products, Hiroyuki Tsurumi, Junya Masuda, and Atsuho Nakayama. Effects of retargeting ads in the upper and lower purchase funnel, Takeshi Moriguchi, Guiyang Xiong, and Xueming Luo. A hierarchical topic model for the e-commerce purchase behavior, Sotaro Katsumata, Eiji Motohashi, and Akihiro Nishimoto. 8/8 16:00 - 17:20 SP26: Cluster Analysis of target data set in cluster benchmark data repository II - Chair: Iven Van Mechelen (Room F) K-means clustering on multiple correspondence analysis coordinates, Le Phan and Hongzhe Liu. Identification of patient classes in low back pain data using crisp and fuzzy clustering methods, Alexandre Gondeau. Cluster correspondence analysis and reduced K-means: A two-step approach to cluster low back pain patients, Fengmei Liu, Suchara Gupta, and Cristina Tortora. Instigation of discussion, Christian Hennig. 8/8 16:00 - 17:20 SP27: Bayesian inference and model selection - Chair: Yutaka Kano (Room G) Online ensemble learning using hierarchical bayesian model averaging, Makoto Okada, Keisuke Yano, and Fumiyasu Komaki. Applied feasible generalized ridge regression estimation to linear basis function models, Masayuki Jimichi.
Bayesian interpretation of the ℓ0 penalized linear regression estimator, Ryunosuke Tanabe. Order selection for high-dimensional non-stationary time series, Shu-Hui Yu.
20 8/8 14:10 - 15:30 SP28: Robustness and active learning with logistic models - Chair: Yuan-chin Ivan Chang (Room H) Double robust asymmetric logistic regression model for estimation of global marine stock abundance, Osamu Komori. Active learning with simultaneous variable and subject selection, Zhanfeng Wang. A greedy selection approach for active learning, Ray-Bing Chen. Application of the influential index to active learning procedures, Yuan-chin Ivan Chang and Bo-Shiang Ke. 8/8 16:00 - 17:20 SP29: Statistical issues on clustering and classification in medical data analysis - Chair: Taerim Lee (Room I) A Cluster analysis using gridded temperatures and precipitation data in Korea, Yung-Seop Lee, Hee-Kyung Kim, Youngho Lee, Myungjin Hyun, Jae-Won Lee. False assignment error rate in discrete latent variable models, Donghwan Lee and Youngjo Lee. Incorporating family disease history in risk prediction models with large- scale genetic data substantially dissolves unexplained variability, Sungho Won and Jungsoo Gim. Clinical decision support system for hepato cellular carcinoma, Taerim Lee. 8/8 16:00 - 17:20 SP30: Regularization methods - Chair: Patrick J.F. Groenen (Room J) Multiclass classification and meta-learning with bayes error estimates, Gerrit J.J. van den Burg and Alfred O. Hero. Regularized generalized canonical correlation analysis 2.0, Arthur Tenenhaus, Michel Tenenhaus, and Patrick J.F. Groenen. Sparse principal covariates regression for (ultra-)high-dimensional data: some computing issues, Katrijn Van Deun, Elise Crompvoets, and Eva Ceulemans. 8/8 16:00 - 17:20 CN05: Contributed session 05 - Chair: Takashi Murakami (Room K) Layered multivariate regression with its applications, Naoto Yamashita and Kohei Adachi. Identifying common and distinctive components using sparse simultaneous components analysis, Niek Cornelis de Schipper and Katrijn van Deun. Generalized orthonormal polynomial principal component analysis, Takashi Murakami. Regularization method using gini index for core array of Tucker3 model, Jun Tsuchida and Hiroshi Yadoshisa. 8/8 16:00 - 17:20 CN06: Contributed session 06 - Chair: M Miftahuddin (Room L) Temporal based discriminant analysis of hyperspectral measurements, Nontembeko Dudeni-Tlhone. Simulation and analysis by growth model reflecting non-uniformity, Kazuhide Namba. Time series classification and clustering using dissimilarities between lagged distributions, Pablo Montero-Manso. Modelling sea surface temperature in time effects perspective, M Miftahuddin, Asma Gul, Zardad Khan, Benjamin Hofner, Andreas Mayr, and Berthold Lausen. 8/8 17:30 - 19:30 Welcome Reception (Dining Hall, B1F Building 4) 8/8 18:00 - 20:00 IFCS Council Meeting (Meeting room, 2F Building 1)
21 Wednesday, August 9, 2017 8/9 9:00 - 9:45 Plenary Invited 03 Chair: Paul McNicholas (Hall, 1F Building 2) An overview of hybrid latent variable models and how they can be used to address outliers, flexible distributions of latent variables and issues of data dimensionality, Irini Moustaki. 8/9 9:45 - 9:55 Short Break 8/9 9:55 - 10:55 SP31: Bayesian approach to classification - Chair: Kazuo Shigemasu (Room A) Generalized extended procrustes post-processing of MCMC samples in bayesian multidimensional scaling, Kensuke Okada and Shin-ichi Mayekawa. A bayesian “confirmatory” factor analysis applied to WISC data, Kazuo Shigemasu and Masanori Kono. Bayesian dynamic topic modeling with stable topics over time periods, Keisuke Takahata and Takahiro Hoshino. 8/9 9:55 - 10:55 SP32: Classification and representation for non metric and symbolic Data I - Chair: J. Fernando Vera and Eva Boj del Val (Room B) Model-based clustering of count data based on the logistic-normal- multinomial distribution, Marc Comas-Cufí, Josep Antoni Martín-Fernández, Glòria Mateu-Figueras, and Javier Palarea-Albaladejo. Robust clustering for functional data based on trimming and constraints, Luis Angel García-Escudero, Diego Rivera-García, Joaquin Ortega, and Agustín Mayo-Iscar. Cluster distance-based regression, José Fernando Vera and Eva Boj. 8/9 9:55 - 10:55 SP33: New topics related to classification problems I - Chair: Yoshikazu Terada, Michio Yamamoto and Hiroshi Yadohisa (Room C) Asymptotic theory of the sparse group lasso, Benjamin Poignard. Selective inference for high dimensional classification, Yuta Umezu. Semi-supervised learning for normal populations: A perspective from statistical missing data analysis, Kenichi Hayashi. 8/9 9:55 - 10:55 SP34: Clustering and recommendation systems - Chair: Jean Diatta (Room D) Directional model-based clustering with social-network information for recommendation, Aghiles Salah and Mohamed Nadif. A clustering model for decision, Pascal Préa, Célia Châtel, and François Brucker. 8/9 9:55 - 10:55 SP35: BRCA data analysis - Organized by H.H. Bock - Chair: Hans A. Kestler (Room E) Using generalized additive models for CNV detection on multi gene panels, Corinna Ernst, Eric Hahnen, Andreas Beyer,and Rita K. Schmutzler. 8/9 9:55 - 10:55 SP36: Issues in classification with complex data structures (CLADAG) - Chair: Francesco Palumbo (Room F) Discriminant analysis with categorical predictors: A NSCA-based approach, Alfonso Iodice D'Enza, Angelos Markos, and Francesco Palumbo. Classifier selection and variable importance in random projection ensemble classification, Francesca Fortunato, Laura Anderlucci, and Angela Montanari. 8/9 9:55 - 10:55 CN07: Contributed session 07 - Chair: Kunihiro Kimura (Room G)
22 Acquiescence or deep processing? latent class regression for modeling response styles, Kunihiro Kimura. A two-step approach to latent class analysis for models with complex dependencies. detecting and modeling residual dependencies, Zsuzsa Bakk. Latent class trees, Mattis van den Bergh. 8/9 9:55 - 10:55 CN08: Contributed session 08 - Chair: Daniel Baier (Room H) Association rules and community detection on bi-partite network, Giuseppe Giordano. Improving the ordering and delivery processes in online-fashion shops: New approaches to integrate the voice of the customer, Daniel Baier and Alexandra Rese. A study on individual small-area differences clustering of residential characteristics by any selection from differences scaling, Mitsuhiro Tsuji, Mayumi Ueda, and Toshio Shimokawa. 8/9 9:55 - 10:55 CN09: Contributed session 09 - Chair: Yasumasa Baba (Room I) Prediction by regression models with missing in covariates, Fumiya Sano, Kaito Takano, Shintaro Tomatsu, and Manabu Iwasaki. Advances in sequential automatic search of subset of classifiers, Luca Frigau, Giulia Contu, and Francesco Mola. Application of pseudo data based on continuous-discrete transformation to multivariate analysis, Yasumasa Baba. 8/9 10:55 - 11:25 Coffee Break (Student Hall, 2F Building 2) 8/9 11:25 - 12:25 SP37: Classification of (un)complex data (CLAD) - Chair: José G. Dias (Room A) Hidden links, known figures - clustering co-authorship networks across scientific fields, Paula Brito, Conceição Rocha, Fernando Silva, and Alípio M. Jorge. l1norm SVMS for binary regression, Pedro Duarte Silva. Multilevel typologies: Classic and symbolic data approaches, José G. Dias. 8/9 11:25 - 12:25 SP38: Classification and representation for non metric and symbolic Data II - Chair: J. Fernando Vera and Eva Boj del Val (Room B) Clustering of histograms using a simulated annealing algorithm, Alejandro Chacon and Javier Trejos. Classification with distance-based logistic regression taking into account prediction error, Eva Boj del Val and Teresa Costa Cor. External logistic biplot for nominal and ordinal data, Jose Luis Vicente- Villardon. 8/9 11:25 - 12:25 SP39: New topics related to classification problems II - Chair: Yoshikazu Terada, Michio Yamamoto and Hiroshi Yadohisa (Room C) Perfect simple structure estimation via extension of quartimin criterion, Kei Hirose. Screening procedure for auxiliary variables in the gaussian mixture model, Shinpei Imori. Dimension reduction clustering based on constrained centroids, Kensuke Tanioka. 8/9 11:25 - 12:25 SP40: Clustering and classification in innovative data science - Chair: Fionn Murtagh (Room D) Linear time visualization and search in big data using pixellated factor space mapping, Fionn Murtagh.
23 Core clustering as a tool for tackling noise in cluster labels, Renato Cordeiro de Amorim, Vladimir Makarenkov, and Boris Mirkin. 8/9 11:25 - 12:25 SP41: Cluster analysis using non-gaussian mixtures - Chair: Brian Franczak (Room E) The multiple scaled contaminated Gaussian distribution, Cristina Tortora and Antonio Punzo. Addressing overfitting in model-based clustering with the t-distribution, Jeffrey Andrews. On clustering longitudinal data, Paul D. McNicholas. 8/9 11:25 - 12:25 CN10: Contributed session 10 - Chair: Łukasz Smaga (Room F) Inference for general MANOVA based on ANOVA-type statistic, Łukasz Smaga. Spherization of multiway tables - A linear algebraic method for multiple testing problems using maximum statistics and concept of distance, Kazuhisa Nagashima, Tapati Basak, Satoshi Kajimoto, and Ryo Yamada. Feature description of truncated normal distributions of additive tests for multiple testing p-value correction – An application to GWAS SNP data, Tapati Basak, Kazuhisa Nagashima, Satoshi Kajimoto, and Ryo Yamada. 8/9 11:25 - 12:25 CN11: Contributed session 11 - Chair: Shinobu Tatsunami (Room G) Usefulness of factor analyses for validity evaluation of a foot and ankle related quality of life outcome instrument, Shinobu Tatsunami, Takahiko Ueno, Naoki Haraguchi, and Hisateru Niki. Data quality management of chain stores based on outlier detection, Linh Nguyen and Tsukasa Ishigaki. Proposal of efficient defensive formation and classification the batters it valid, Kazuki Konda and Yoshiro Yamamoto. 8/9 11:25 - 12:25 CN12: Contributed session 12 - Chair: Seong-Keon Lee (Room H) Decision tree approaches for interval valued symbolic data response, Seong- Keon Lee. Random forests followed by ABC analysis as a feature selection procedure for machine-learning, Jorn Lötsch, and Alfred Ultsch. A flexible approach to identify interaction effects between moderators in meta-analysis, Xinru Li, Elise Dusseldorp, and Jaqueline J. Meulman. 8/9 11:25 - 12:25 CN13: Contributed session 13 - Chair: Tsai-Hung maqz (Room I) Optimal treatment regime estimation: a clustering problem with a well- defined, pragmatic optimality criterion, Iven Van Mechelen and Aniek Sies. Type I censored life test of a two-component series system under bivariate Weibull lifetime distribution, Tsai-Hung Fan, She-Kai Ju, and N. Balakrishnan. Copula selection in random coefficient degradation models, Shuen-Lin Jeng. 8/9 12:25 - 13:25 Lunch Break 8/9 13:25 - 14:10 Presidential Address Chair: Berthold Lausen (Hall, 1F Building 2) Dissimilarity based on manner of dissimilarity/similarity to/from the others, Akinori Okada. 8/9 14:10 - 15:00 Award Session Chair: Yasumasa Baba (Hall, 1F Building 2) 8/9 15:15 Bus Departure for Short Tour (Optional Tour) 8/9 19:00 - 21:00 Conference Dinner at Meiji Kinenkan
24 Thursday, August 10, 2017 8/10 9:00 - 9:45 Plenary Invited 04 Chair: Heon Jin Park (Hall, 1F Building 2) Classification by quantiles, Cinzia Viroli. 8/10 9:45 - 10:30 Plenary Invited 05 Chair: Yoshiro Yamamoto (Hall, 1F Building 2) Decisions that are needed when using cluster analysis, and research that helps with making them, Christian Hennig. 8/10 10:30 - 11:00 Coffee Break (Student Hall, 2F Building 2) 8/10 11:00 - 11:45 Poster Session (Student Hall, 2F Building 2) Sufficient dimension reduction via random-partition for large-p-small-n problem, Hung Hung. Model based clustering for tensor-valued data strcutures, Kohei Uno. Extensions of Pearson's inequality between skewness and kurtosis to multivariate cases, Haruhiko Ogasawara. Leveraging local data structure for multi-view correlation analysis with graph-structured associations, Akifumi Okuno and Hidetoshi Shimodaira. Multi-criteria classifications in regional development modelling, Beata Bal- Domańska. Data analysis of the cross-resistance rate between antibiotic drugs by nonmetric asymmetric multidimensional scaling, Yasutoshi Hatsuda, Syou Maki, Yasuhiro Ishimaki, Katsuhito Nagai, Sachiko Omotani, Junji Mukai, Masahiko Taguchi, Michiaki Myotoku, and Tadashi Imaizumi. Spatial diversification of employment structures vs. educational capital in the European Union, Elżbieta Sobczak and Beata Bal-Domańska. Penalized multidimensional unfolding of asymmetric data with self-distances constrained to be short, Gaku Tsujii and Kohei Adachi. Motion-blurred image restoration, Huey-Miin Hsueh. Fused sliced average variance estimation, Sungmin Won, Hyoin Ahn, and Jae Keun Yoo. Permutation dimension test of fused sliced inverse regression, YooNa Cho and Jae Keun Yoo. The use of the robust regresion estimator to estimate small trade firms, Grażyna Dehnel. Using k-means classification method within GREG estimation to assess small enterprises in Poland, Grazyna Dehnel, Marek Walesiak, and Jacek Kowalewski. Multi-category classification model of internet game and alcohol addiction based on resting-state EEG data, MinJi Cho, Yeonjung Hong, Sohyun Lee, Ji Yoon Lee, Yeon Jin Kim, Jung-Seok Choi, and Donghwan Lee. A study on predictors of internet and smartphone addiction in adolescents via structural equation modeling, Sohyun Lee, Eunmin Park, and Donghwan Lee. Nonlinear factor analysis for NCT test score linking, Tatsuo Otsu. Recursive sparse path analysis via lasso type penalty, Ji Yao Li. 8/10 11:45 - 12:35 Lunch Break 8/10 12:35 - 14:15 SP42: Advanced technique for analyzing (big) multi-set/multi-subject data - Chair: Tom Wilderjans (Room A) Estimating cross-source relationships from big data using component- and networks-analysis, Pia Tio, Lourens Waldorp, and Katrijn Van Deun.
25 Integrating customer data sets using topic models, Takuya Satomura. Detecting disease subtypes by means of cluster independent component analysis (C-ICA) of multi-subject brain data, Jeffrey Durieux, Serge A.R.B. Rombouts, and Tom Frans Wilderjans. Quantifying similarity in brain responses based on multi-subject eeg data: a simulation study to compare the inter-subject correlation (ISC) measure to novel methods, Tom F Wilderjans and Wouter D Weeda. 8/10 12:35 - 14:15 SP43: Survey data analysis - Chair: Ryozo Yoshino (Room B) The longitudinal and cross-national values survey: Cultural manifold analysis of national character, Ryozo Yoshino. A trial of diagnostic cut-off point selection in three-class classification for health questionnaire, Kazue Yamaoka, Yoshinori Nakata, Mutsuhiro Nakao, Kei Asayama, Mariko Inoue, and Toshiro Tango. Cross-national comparison on collective characteristics of cultural symbols in Asia-Pacific area, Yuejun Zheng. Analysis of visit record in interviewer mediated surveys: A case study using the survey on the Japanese national character and others, Tadahiko Maeda. Cross-national studies of trust: searching for characteristics of trsut based on comparative surveys among eight nations, Fumi Hayashi and Masamichi Sasaki. 8/10 12:35 - 14:15 SP44: Analysis and clustering of complicated data - Chair: Junji Nakano (Room C) A new clustering algorithm via graph connectivity, Ying-Chao Hung, Yu- Feng Li, and Liang-Hung Lu. Kernel methods for symbolic data, Woncheol Jang. Interactive visualization of characteristics of groups, Yoshikazu Yamamoto, Junji Nakano, and Nobuo Shimizu. Dissimilarity by chi-squared statistic for aggregated symbolic data with continuous and categorical variables, Nobuo Shimizu, Junji Nakano, and Yoshikazu Yamamoto. A study on distance between fields and fusion of different fields by using co- authored information of article, Yuji Mizukami. 8/10 12:35 - 14:15 SP45: Text classification - Organized by Masakatsu Murakami - Chair: Yuichiro Kobayashi (Room D) The stylometry on Japanese political documents, Yohei Ono. Quantitative storyline structure of "The Tale of Utsuho", Gen Tsuchiyama. A comparative evaluation of feature selection methods, Wanwan Zheng and Mingzhe Jin. The changes over time in Kōji Uno’s writing style, Xueqin Liu. Automated speech scoring: A text classification approach, Yuichiro Kobayashi. 8/10 12:35 - 14:15 SP46: Data Science, classification and clustering - Chair: Berthold Lausen (Room E) Collinear by design. The econometrics of product configuration data, Andreas Geyer-Schulz. Distances, bayes errors, and classification method performance in high dimensions, Claus Weihs, and Tobias Kassner. New approaches for brand confusion analysis based on ad similarities, Daniel Baier.
26 Exhaustive relabeling experiments for biomarker selection, Ludwig Lausser, Alexander Groß, and Hans A. Kestler. 8/10 12:35 - 14:15 SP47: Methods of data analysis and statistical measures in the social sciences - Chair: Theodore Chadjipantelis (Room F) Optimal model-based clustering with multilevel data, Fulvia Pennoni, Francesco Bartolucci, and Silvia Bacci. A comparison of different applications of functional linear discriminant analysis, Sugnet Lubbe. Changes in the gendered division of labor and women's economic contributions within Japanese couples, Miki Nakai. Determining the similarity index in electoral behavior analysis: An issue voting behavioral mapping, Theodore Chadjipantelis and Georgia Panagiotidou. 8/10 12:35 - 14:15 SP48: Cluster validation: New developments and issues II - Organized by Christan Hennig - Chair: Hans-Joachim Mucha (Room G) Evaluating fuzzy clustering results, Elena Rihova. Understanding external validity indices, Matthijs J. Warrens. Validation of sum of squared error clustering: Bootstrapping versus subsampling in view of the influence of multiple points, Hans-Joachim Mucha. Decomposing information-theoretic validity indices, Hanneke van der Hoef. 8/10 12:35 - 14:15 CN14: Contributed session 14 - Chair: Masahiro Mizuta (Room H) An integrative tool for visualization of gene set analysis, Chen-An Tsai. Functional data analysis approach for fatty acid concentration changes, YiFan Chen, Rojeet Shrestha, Ken-ichi Hirano, Shu-Ping Hui, Hitoshi Chiba, Yuriko Komiya, and Masahiro Mizuta. RNAseq data clustering: comapartive study, Smail Jamail, Abderrahmane Sbihi, and Ahmed Moussa. Extension of sinkhorn method: optimal movement estimation of agents under law of inertia, Daigo Okada, Naotoshi Nakamura, Yosuke Fujii, Takuya Wada, Ayako Iwasaki, and Ryo Yamada. 8/10 12:35 - 14:15 CN15: Contributed session 15 - Chair: Noboru Wakayama (Room I) Optimal doubling burn-in policy based on tweedie processes with applications to degradation data, Chien-Yu Peng. Critical thinking ability scale development on item response theory, Noboru Wakayama, Yoshimitsu Miyazawa, Shinji Kajitani, and Maomi Ueno. Nonparametric semi-supervised classification with application to signal detection in high energy physics, Alessandro Casa and Giovanna Menardi. OASW foundation and some discussion on results, Fatima Batool and Christian Hennig. 8/10 12:35 - 14:15 CN16: Contributed session 16 - Chair: Guangliang Chen (Room J) Joint clustering of batch data in the presence of inter-sample variations, Sharon Lee. Privacy preserving em learning for model-based clustering, Kaleb Leemaqz and Sharon Lee. Novel geometrically adaptive scaling techniques for multiscale gaussian- kernel SVM, Guangliang Chen. 8/10 14:15 - 14:25 Short Break 8/10 14:25 - 15:25 Closing Ceremony (Hall, 1F Building 2)
27
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