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Issue Highlights: Making Research AAI Newsletter | 1 INNOVATION INNOVATION SPECIAL HIGHLIGHTS Special mention of AAI in the 2013 Australian Government Big Data Strategy - Issues Paper It is very satisfying for the AAI to have been identified as a leading Institute within an Australian University, UTS for their research NEWSLETTER and contemporary work in the field of BIG DATA by the Australian Government Department of Finance and Deregulation. June 2013 Issue 4 “In Australia, the University of Technology Sydney has opened the Advanced Analytics Institute (AAI), a research institute that focuses on data and analytics science as well as evidence-driven decision Issue Highlights: making research. The AAI brings together researchers with a variety of backgrounds and aims to support and mentor generations of SPECIAL HIGHLIGHTS high-calibre analytics graduates. It has worked with a number of Special Mention organisations and Australian Government departments including “Analytics Cathedral” AMP, IBM, SAS, Microsoft Research, Nokia, Westpac, the ATO and DHS (Centrelink).” INNOVATION Big Data Strategy - Issues Paper, © Commonwealth of Australia 2013, Awards <http://agimo.gov.au/files/2013/03/Big-Data-Strategy-Issues-Paper1.pdf> Papers Awarded “Analytics Cathedral” - Dr Usama Fayyad (former Journal Papers Published Yahoo! chief data officer and executive vice president Conference Papers Published of Research & Strategic Data Solutions; Chairman, co- COLLABORATION Founder & CTO of ChoozOn Corporation) Australian Taxation Office On April 2013, Dr Usama Fayyad visited the cathedral style Blackfriars UTS Improved Student Intake and office of AAI. He enjoyed the ambiance of the office and commented Marketing he had never seen similar arrangements in any other places. He called Nokia Research Centre the AAI office an “Analytics Cathedral”, and appreciated the AAI’s RED Analytics business model by focusing on high quality Research, high BIG DATA ANALYTICS EVENTS calibre analyst Education, and high impact Development in advanced Canberra Breakfast Analytics. Dr Fayyad generously offered his advice and support to the Forum Canberra AAI strategic development. Big Data School Big Data Summit INNOVATION EDUCATION Awards Short Courses in Advanced Analytics 2012 Herbert Simon Award for Outstanding Contribution in Professor Piccardi’s Lecture Series Information Technology and Decision Making AAI Seminar Series Professor Longbing Cao, NETWORKING director of the Advanced PAKDD2013 Analytics Institute, was Invited Speeches recently selected for the 2012 Herbert Simon Award International Visitors for Outstanding Contribution in Information Technology THE AAI TEAM and Decision Making by UTS DVS the International Journal of Visiting Academic Information Technology and Visiting Students Decision Making. This award was presented together with Professor New Members Ruwei Dai, an academician in the Chinese Academy of Sciences and Professor Cao’s former PhD supervisor. The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au The Advanced Analytics institute | Big Data, Smarter Decisions AAI Newsletter | 2 INNOVATION INNOVATION Zongda Wu, Guandong Xu, Position-wise contextual Papers Awarded advertising: Placing relevant ads at appropriate positions of a web page, neurocomputing Jinjiu Li - Best Student Paper: PAKDD13 Xinwang Liu, Jianping Yin, Lei Wang, Lingqiao Liu, Jun Liu, Chenping Hou and Jian Zhang, “An Adaptive Li, J., Wang, C., Wei, W., Approach to Learning Optimal Neighborhood Li, M. and Liu C. Efficient Kernels” IEEE Transactions on Systems, Man, and mining of contrast patterns Cybernetics, Part B, Vol. 43. Issue 1, pp. 371-384, on large scale imbalanced February 2013 real-life data, In: PAKDD 2013, pp. 62-73. Shiyang Lu, Jian Zhang, Zhiyong Wang and David Dagan Feng, “Fast Human Action Classification and VOI Localization with Enhanced Sparse Coding”, Journal of Visual Communication and Journal Papers Published Image Representation, Vol 24, Issue 2, pp. 127-136, February, 2013 Longbing Cao. Combined Mining: Analyzing Object and Pattern Relations for Discovering and Worapan Kusakunniran, Qiang Wu, Jian Zhang, Yi Constructing Complex but Actionable Patterns, Ma, and Hongdong Li: A New View-Invariant Feature WIREs Data Mining and Knowledge Discovery, 3(2): for Cross-View Gait Recognition, IEEE Transactions 140-155, 2013 on Information Forensics and Security 2013 Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. An P Chen, J Li, L Wong, H Kuwahara, J Huang, X Gao. Efficient Approach for Outlier Detection with Imperfect Accurate prediction of hot spot residues through Data Labels, IEEE Transactions on Knowledge and physicochemical characteristics of amino acid Data Engineering sequences, Proteins, 2013 March 16. doi: 10.1002/ prot.24278. [Epub ahead of print] Bo Liu, Yanshan Xiao, Philip S Yu, Longbing Cao. Uncertain One-Class Learning and Concept Yuanchun Zhou, Minjie Tang, Weike Pan, Jinyan Summarization Learning on Uncertain Data Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Streams, IEEE Transactions on Knowledge and Li, Qiang Yang, Bao-ping Yan. Bird Flu Outbreak Data Engineering Prediction via Satellite Tracking, IEEE Intelligent Systems, 26 April 2013 Yanshan Xiao, Bo Liu, Longbing Cao, Zhifeng Hao. Boundary Embedded Nonparallel Plane Classification, IEEE Transactions on Neural Conference Papers Published Networks and Learning Systems Can Wang, Zhong She, Longbing Cao. Coupled Yanshan Xiao, Bo Liu, Zhifeng Hao, Longbing Cao. Attribute Analysis on Numerical Data, IJCAI 2013 Similarity-Based Classification Framework For Multiple-Instance Learning, IEEE Transactions on Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Cybernetics Gu, Longbing Cao. Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis, IJCAI2013 Cheng Wang, Longbing Cao, Baiqi Miao. Optimal Deature Selection for Sparse Linear Discriminant Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Analysis and Its Applications in Gene Expression Zhiping Gu, Can Zhu. Cross-Domain Collaborative Data, Computational Statistics and Data Analysis Filtering Triadic Factorization, WWW 2013 Cheng Wang, Jing Yang, Baiqi Miao, Longbing Cao. Yin Song, Longbing Cao, Yin Junfu and Wang Cheng. Identity Tests for High Dimensional Data Using RMT, Extracting Discriminative Features for Identifying Journal of Multivariate Analysis Abnormal Sequences in One-class Mode, IJCNN 2013 Guandong Xu, Yu Zong, Ping Jin, Rong Pan, Zongda Wu, KIPTC: A Kernel Information Propagation Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao. Tag Clustering Algorithm, International Journal of Coupled Term-Term Relation Analysis for Document Intelligent Information System Clustering, IJCNN2013 The Advanced Analytics institute | Big Data, Smarter Decisions www.analytics.uts.edu.au AAI Newsletter | 3 INNOVATION INNOVATION Wei Cao, Longbing Cao, Yin Song. Coupled Applied Data Mining Market Behavior Based Financial Crisis Detection, June 2013 IJCNN2013 Edited by Guandong Xu, Yu Zong and Zhenglu Yang Wei Li, Longbing Cao, Dazhe Zhao. CRNN: Integrating Publisher: CRC Press Classification Rule and Neural Network, IJCNN 2013 Data mining has witnessed Wu Liang, Alvin Chin, Guandong Xu, Liang Du, Xia substantial advances in Wang, Kangjian Meng,Yonggang Guo, Yuanchun recent decades. New Zhou. Who Will Follow Your Shop? Exploiting Multiple research questions and Information Sources in Finding Followers, DASFAA practical challenges have 2013 arisen from emerging areas and applications within the Shu Wang, Jian Zhang, Zhenjiang Miao. A New Edge various fields closely related Feature For Head-Shoulder Detection, ICIP 2013 to human daily life, e.g. social media and social networking. Jingsong Xu, Qiang Wu, Jian Zhang, Fumin Shen, This book aims to bridge Zhenmin Tang.Training Boosting-Like Algorithms with the gap between traditional Semi-Supervised Subspace Learning, ICIP 2013 data mining and the latest advances in newly emerging Worapan Kusakunniran, Shinichi Satoh Jian Zhang information services. It and Qiang Wu. Attribute-based Learning for Large explores the extension of well-studied algorithms and Scale Object Classification, ICME 2013 approaches into these new research arenas. Social Media Mining and Social Network Analysis: Books Published Emerging Research Behavior Computing: Modeling, analysis, mining January 2013 and decision Edited by Guandong Xu & Lin Li Edited by Longbing Cao, Philip S. Yu Publisher: IGI Global Publisher: Springer Social Media Mining and Social Network Analysis: The field of behavior Emerging Research computing opens up the highlights the opportunity for breakthrough advancements made advances, discoveries and in social network advanced knowledge to analysis and social come from outside of social web mining and sciences. Behavior Computing its influence in the effectively contextualizes fields of computer statistical and machine science, information learning tools in a series of systems, sociology, 23 very interesting chapters organization science embracing models, scenarios discipline and much and case studies thematically more. This collection connected with behavior computing. The end result of perspectives is a highly presentable book for a wide-ranging on developmental audience inclusive of final-year undergraduates or practice is useful for postgraduate students. However, the book requires industrial practitioners as well as researchers and familiarity with machine learning algorithms and scholars. analysis of large datasets and may just prove to be a catalyst for social scientists to leave behind existing
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