Program at a Glance

Nov. 7, 2019 (Thursday)
10:00-17:00Registration (Main Lobby, Area B, First Floor, Entrance C2, CNCC)
Nov. 8, 2019 (Friday)
7:30-17:40Registration (Main Lobby, Area B, First Floor, Entrance C2, CNCC)
WorkshopsDemosPh.D. Forum
8:00-10:00Rooms: 301AB,
302AB, 303A,
303B, 305
401, 402AB,
403, 405, 406		Room 407/
10:00-10:20Coffee Break
10:20-12:00Rooms: 301AB,
302AB, 303A,
303B, 305
401, 402AB,
403, 405, 406		Room 407/
12:00-13:30Lunch
13:30-15:20Rooms: 301AB,
302A, 302B,
303A, 303B, 305
401, 402AB,
403, 405, 406		/Room 407
15:20-15:40Coffee Break
15:40-17:40Rooms: 301AB,
302A, 302B,
303A, 303B, 305
401, 402AB,
403, 405, 406		/Room 407
18:00-22:00
Nov. 9, 2019 (Saturday)
7:30-17:40Registration (Main Lobby, Area B, First Floor, Entrance C2, CNCC)
Ballroom A (1st Floor)301A301B302A302B303AB305
8:30-9:00Opening Remark
9:00-10:00Keynote Speech I: Jiawei Han
Title: Embedding-Based Text Mining: A Frontier in Data Mining
10:00-10:20Coffee Break
10:20-12:00Session 1
Streaming and Moving Object Data		Session 2
Supervised Learning		Session 3
Urban, Mobilty, and Behavior Data		Session 4
Anomalies & Outliers		Session 5
Distributed & High Performance Data Mining
12:00-13:30Lunch
13:30-15:20Tutorial 1
Automated Deep Learning: Theory, Algorithms, Platforms, and Applications		Session 6
Transfer Learning and Interpretable Learning		Session 7
Supervised Learning		Session 8
Spatial and Temporal Data mining		Session 9
Deep Learning and its Applications		Session 10
Machine Learning
15:20-15:40Coffee Break
15:40-17:40Tutorial 1
Automated Deep Learning: Theory, Algorithms, Platforms, and Applications		Session 11
Unsupervised Learning		Session 12
Privacy and Security		Session 13
Theory		Session 14
Recommender Systems		Session 15
Graph Mining
18:00-22:00Welcome Reception @ Corridor at the Third Floor
Nov. 10, 2019 (Sunday)
7:30-17:40Registration (Main Lobby, Area B, First Floor, Entrance C2, CNCC)
301A301B302A303AB305311AB
9:00-10:00Keynote Speech II: Ronald Fagin
Title: Applying theory of data to practice
10:00-10:20Coffee Break
10:20-12:00Tutorial 2
Speech and Language Processing: New Tools, New Applications		Session 16
Spatial and Temporal Data mining		Session 17
Bio-Medical / Helthcare		Session 18
Mining and Link Analysis in Networked Settings		Session 19
Textual and Unstructured data
12:00-13:30Lunch
13:30-15:20Tutorial 2
Speech and Language Processing: New Tools, New Applications		Session 20
Deep Learning and its Applications		Session 21
Mining and Link Analysis in Networked Settings		Session 22
Machine Learning		Industrial Talks
15:20-15:40Coffee Break
15:40-17:40Tutorial 2
Speech and Language Processing: New Tools, New Applications		Session 23
Pattern mining and Data Pre-processing		Session 24
Recommender Systems		Session 25
Deep Learning and its Applications
19:00-21:00Banquet @ Ballroom A (1st Floor)
Nov. 11, 2019 (Monday)
7:30-17:40Registration (Main Lobby, Area B, First Floor, Entrance C2, CNCC)
301A301B302A303AB305311AB
9:00-10:00Keynote Speech III: Joseph Halpern
Title: Actual Causality
10:00-10:20Coffee Break
10:20-12:00Session 26
Textual and Unstructured data		Session 27
Multi-label/Multi task Learning		Session 28
Bio-Medical / Helthcare		Session 29
Mining and Link Analysis in Networked Settings		Session 30
Clustering
12:00-13:30ICDM Community Meeting (Lunch provided by the conference)
Student Travel Awards
ICDM '19 & '20
13:30-16:00Tutorial 3
Table Extraction and Understanding for Scientific and Enterprise Applications		Session 31
Semi-supervised & Active Learning		Session 32
Sequences & Time Series		Session 33
Mining and link analysis in Networked Settings		Session 34
Human-machine Interaction and Visual Data Mining
16:00-16:10Coffee Break
16:10-16:30Contest
16:30-17:30ICDM/ICBK 2019 Panel: Marketing Intelligence – Let Marketing Drive Efficiency and Innovation
17:30-17:50Closing Session