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Halifax, Nova Scotia Canada August 13 17, 2017 Halifax, Nova Scotia ­ Canada August 13 ­ 17, 2017 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Contents KDD 2017 Agenda at a Glance KDD 2017 Chairs’ Welcome Message Program Highlights Keynote Talks Research and Applied Data Science Tracks Applied Data Science Track Invited Talks Applied Data Science Panels Tutorials Hands‐On Tutorials Workshops KDD 2017 Tutorial Program KDD 2017 Workshop Program Full Day Workshops ‐ Monday August 14, 8:00am ‐5:00pm Half Day Workshops ‐ Monday August 14, 8:00am ‐ 12:00pm Half Day Workshops ‐ Monday August 14, 1:00am ‐ 5:00pm KDD Cup Workshop ‐ Wednesday August 16, 1:30pm ‐ 5:00pm KDD 2017 Hands‐On Tutorial Program Tuesday August 15, 2017 Wednesday August 16, 2017 Thursday August 17, 2017 KDD 2017 Conference Program Monday August 14 2017 Detailed Program Monday August 14, 2017 5:15pm – 7:00pm, KDD 2017 Opening Session ‐ Scoabank Centre Tuesday August 15, 2017 Detailed Program Wednesday August 16, 2017 Detailed Program Thursday August 17, 2017 Detailed Program KDD 2017 Conference Organizaon KDD 2017 Organizing Commiee Research Track Senior Program Commiee Applied Data Science Track Senior Program Commiee Research Track Program Commiee Applied Data Science Track Program Commiee KDD 2017 Sponsors & Supporters Halifax, Points of Interest Useful Links and Emergency Contacts KDD 2017 Agenda at a Glance Saturday, August 12th Level 8 ­ Summit 8:00AM ­ 5:00PM Workshop: Broadening Participation in Data Mining (BPDM) ­ Day 1 Suite/Meeting Room 5 4:00PM ­ 6:00PM KDD 2017 Registration Level 1 Atrium Sunday, August 13th (TUTORIAL DAY) 7:30AM ­ 5:00PM KDD 2017 Registration Level 1 ­ Atrium Level 8 ­ Summit 8:00AM ­ 5:00PM Workshop: Broadening Participation in Data Mining (BPDM) ­ Day 2 Suite/Meeting Room 5 Tutorial 4: Network Embedding­Enabling Network Analytics and 8:00AM ­ 12:00PM Room 200C1 Inference in Vector Space Tutorial 1: Mining Entity­Relation­Attribute Structures from 8:00AM ­ 12:00PM Room 200C2 Massive Text Data Tutorial 9: Deep Learning for Personalized Search and 8:00AM ­ 12:00PM Room 200D Recommender Systems 8:00AM ­ 12:00PM Tutorial 6: Time Series Data Mining Using Matrix Profiling Room 200E Tutorial 8: Data Mining in Unusual Domains with Information­rich 8:00AM ­ 12:00PM Suite 202­203 Knowledge Graph Construction, Inference and Search 8:00AM ­ 12:00PM Tutorial 10: Safe Data Analytics: Theory, Algorithms, and Applications Suite 204­205 Tutorial 2: Mining Entity­Relation­Attribute Structures from 8:00AM ­ 12:00PM Suite 301 Massive Text Data 8:00AM ­ 12:00PM Tutorial 3: Non­IID Learning Suite 302 Tutorial 5: From Theory to Data Product ­ Applying Data Science 8:00AM ­ 12:00PM Suite 303 Methods to Effect Business Change Tutorial 11: IoT in Practice: Case Studies in Data Analytics, with Issues 8:00AM ­ 12:00PM Suite 304 in Privacy and Security. Tutorial 20: Athlytics: Data Mining and Machine Learning for 8:00AM ­ 12:00PM Suite 305­ 306 Sports Analytics 10:00AM ­ 10:30AM KDD Coffee Break Level 2 & 3 Foyer 12:00PM ­ 1:00PM Lunch (On Own) 3:00PM ­ 3:30PM KDD Coffee Break Level 2 & 3 Foyer 1:00PM ­ 5:00PM Tutorial 22: Smart Analytics for Big Time­series Data Room 200C1 Tutorial 13: Machine Learning for Survival Analysis: Theory, Algorithms 1:00PM ­ 5:00PM Room 200C2 and Applications 1:00PM ­ 5:00PM Tutorial 21: Learning Representations of Large­scale Networks Room 200D 1:00PM ­ 5:00PM Tutorial 7: Recent Advances in Feature Selection Room 200E 1:00PM ­ 5:00PM Tutorial 19: System Event Mining ­ Algorithms and Applications Suite 202­203 Tutorial 16: A Critical Review of Social Data: Biases, Methodological 1:00PM ­ 5:00PM Suite 204­205 Pitfalls, and Ethical Boundaries Tutorial 14: Large Scale Hierarchical Classification: Foundations, 1:00PM ­ 5:00PM Suite 301 Algorithms and Applications 1:00PM ­ 5:00PM Tutorial 15: A/B Testing at Scale: Accelerating Software Innovation Suite 302 Tutorial 17: Data­Driven Approaches towards Malicious Behavior 1:00PM ­ 5:00PM Suite 303 Modeling 1:00PM ­ 5:00PM Tutorial 12: Making Better Use of the Crowd Suite 304 Tutorial 18: Context­Rich Recommendation: Integrating Links, Text, and 1:00PM ­ 5:00PM Suite 305­ 306 Spatio­Temporal Dimensions Monday, August 14th (WORKSHOP DAY/POSTER RECEPTION 1) 7:30AM ­ 5:00PM KDD 2017 Registration Level 1 ­ Atrium Level 8 ­ Summit 8:00AM ­ 12:00PM Workshop 14: Machine Learning for Creativity Suite/Meeting Room 5 8:00AM ­ 12:00PM Workshop 11: Workshop on Causal Discovery Room 200C1 Workshop 2: Big Data, IoT Streams and Heterogeneous Source Mining 8:00AM ­ 12:00PM Room 200C2 (Full­Day) 8:00AM ­ 12:00PM Workshop 1: Mining and Learning from Time Series (Full­Day) Room 200D 8:00AM ­ 12:00PM Workshop 4: Mining and Learning with Graphs (Full­Day) Room 200E Workshop 5: Fairness, Accountability, Transparency in Machine 8:00AM ­ 12:00PM Suite 202 Learning (FATML) (Full­Day) 8:00AM ­ 12:00PM Workshop 6: International Workshop on Data Mining in Bioinformatics Suite 203 8:00AM ­ 12:00PM Workshop 15: Advancing Education with Data (Full­Day) Suite 204 8:00AM ­ 12:00PM Workshop 7: Urban Computing (Full­Day) Suite 205 Workshop 3: Interactive Data Exploration and Analytics (IDEA) 8:00AM ­ 12:00PM Suite 301 (Full Day) 8:00AM ­ 12:00PM Workshop 12: Medical Informatics and Healthcare Suite 302 8:00AM ­ 12:00PM Workshop 13: Big Data Analytics­as­a­Service Suite 303 8:00AM ­ 12:00PM Workshop 9: Data Science for Intelligent Food, Energy and Water Suite 304 8:00AM ­ 12:00PM Workshop 8: Data Science & Journalism (Full­Day) Suite 305 8:00AM ­ 12:00PM Workshop 10: 2017 Edition of AdKDD and TargetAd (Full­Day) Suite 306 10:00AM ­ 10:30AM KDD Coffee Break Level 2 & 3 Foyer 12:00PM ­ 1:00PM Lunch (On Own) 3:00PM ­ 3:30PM KDD Coffee Break Level 2 & 3 Foyer Level 8 ­ Summit 1:00PM ­ 5:00PM Workshop 18: Data Driven Discovery Suite/Meeting Room 5 1:00PM ­ 5:00PM Workshop 19: Anomaly Detection in Finance Room 200C1 1:00PM ­ 5:00PM Workshop 2: Big Data, IoT Streams and Heterogeneous Source Mining Room 200C2 (Full­Day) 1:00PM ­ 5:00PM Workshop 1: Mining and Learning from Time Series (Full­Day) Room 200D 1:00PM ­ 5:00PM Workshop 4: Mining and Learning with Graphs (Full­Day) Room 200E Workshop 5: Fairness, Accountability, Transparency in Machine 1:00PM ­ 5:00PM Suite 202 Learning (FATML) (Full­Day) Workshop 20: Workshop on Issues of Sentiment Discovery and Opinion 1:00PM ­ 5:00PM Suite 203 (WISDOM) 1:00PM ­ 5:00PM Workshop 15: Advancing Education with Data (Full­Day) Suite 204 1:00PM ­ 5:00PM Workshop 7: Urban Computing (Full­Day) Suite 205 Workshop 3: Interactive Data Exploration and Analytics (IDEA) (Full 1:00PM ­ 5:00PM Suite 301 Day) 1:00PM ­ 5:00PM Workshop 16: Machine Learning Meets Fashion Suite 302 Workshop 17: Machine Learning for Prognostics and Health 1:00PM ­ 5:00PM Suite 303 Management 1:00PM ­ 5:00PM Workshop 9: Data Science for Intelligent Food, Energy and Water Suite 304 1:00PM ­ 5:00PM Workshop 8: Data Science & Journalism (Full­Day) Suite 305 1:00PM ­ 5:00PM Workshop 10: 2017 Edition of AdKDD and TargetAd (Full­Day) Suite 306 4:00PM ­ 5:00PM Poster Reception Presenter Set­Up WTCC Room 100 5:15PM ­ 7:00PM KDD 2017 Opening Session Scotiabank Centre 7:00PM ­ 10:00PM Poster Reception: Group 1 WTCC Room 100 Tuesday, August 15th (MAIN CONFERENCE DAY) 7:00AM ­ 5:00PM KDD 2017 Registration Level 1 ­ Atrium Level 8 ­ Meeting Room 9:30AM ­ 6:00PM Sponsor Room 4 9:30AM ­ 6:00PM KDD Exhibit Hall Scotiabank Centre 7:00AM ­ 8:00AM KDD Breakfast Level 3 Foyer Keynote: Bin Yu ­ Three Principles of Data Science: Predictability, 8:00AM ­ 9:30AM Scotiabank Centre Stability, and Computability 8:30AM ­ 12:00PM Hands­On Tutorial: Amazon Web Services & MxNET Suite 301­ 303 8:30AM ­ 12:00PM Hands­On Tutorial: Anomaly Detection in Networks Suite 304­ 306 Level 8 ­ Summit 10:00AM ­ 1:00PM India Chapter Meeting ­ Data Science in India Suite/Meeting Room 5 Level 2 & 3 Foyer / 9:30AM ­ 10:00AM KDD Coffee Break Exhibit Hall 10:00AM ­ 12:00PM AT1: Platforms and Infrastructure Room 200C 10:00AM ­ 12:00PM AI1: Understanding Behavior with Data Science Room 200D 10:00AM ­ 12:00PM RT1: Kernels and Sketches Room 200E 10:00AM ­ 12:00PM RT2: Temporal Analysis Suite 202­205 12:00PM ­ 1:30PM KDD Lunch Scotiabank Centre Prince George Hotel ­ 12:00PM ­ 1:30PM KDD Women's Lunch ( Ticket Required) Windsor Room 1:30PM ­ 5:30PM Hands­On Tutorial: Amazon Web Services & MxNET Suite 301­ 303 1:30PM ­ 5:30PM Hands­On Tutorial: Massive Online Analytics Suite 304­ 306 Level 8 ­ Summit 1:30PM ­ 5:00PM China Chapter Meeting Suite/Meeting Room 5 1:30PM ­ 3:30PM AT2: Novel Applications 1 Room 200C 1:30PM ­ 3:30PM AI2: Applied Machine Learning Room 200D 1:30PM ­ 3:30PM RT3: Graphs I Room 200E 1:30PM ­ 3:30PM RT4: Supervised Learning I Suite 202­205 Level 2 & 3 Foyer / 3:30PM ­ 4:00PM KDD Coffee Break Exhibit Hall 4:00PM ­ 6:00PM AT3: Medical Data Room 200C 4:00PM ­ 6:00PM RT5: Deep Learning Room 200DE 4:00PM ­ 6:00PM Dissertation Award Suite 202­205 6:30PM ­ 10:00PM KDD 2017 Banquet Cunard Centre Wednesday, August 16th (MAIN CONFERENCE DAY/POSTER RECEPTION 2) 8:00AM ­ 5:00PM KDD 2017 Registration Level 1 Atrium 9:30AM ­ 6:00PM Sponsor Room Level 8 ­ Meeting Room 4 9:30AM ­ 12:00PM / KDD Exhibit Hall Scotiabank Center 1:30PM ­ 6:00PM ( please note, hall closed during KDD Business Lunch) 7:00AM ­ 8:00AM KDD Breakfast Level 3 Foyer 8:00AM ­ 9:30AM Keynote: Cynthia Dwork ­ What's Fair? Scotiabank Centre Hands­On Tutorial: META: A Unifying Framework for the Management 8:30AM ­ 12:00PM Suite 301­ 303 and Analysis of Text Data 10:00AM ­ 12:00PM Meet the Editors Panel Level 8 ­ Summit Suite/Meeting
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