Talks in: Les Invalides B

Dates:

28 June 2009 | 29 June 2009 | 30 June 2009 | 1 July 2009

Tracks:

Demonstrations | Dissertation Award Talk | Industry Session | Panel | Plenary Keynote | Posters | S01: Clustering | S02: Recommender Systems | S03: Temporal & Streams Mining | S04: Industry: Web Mining | S05: Social Content | S06: Supervised Learning | S07: Anomaly & Streams | S08: Industry: Mining Web Logs | S09: Text Mining | S10: Graph Mining | S11: Search & Advertising | S12: Combined: Anomaly Detection | S13: Statistical & Consensus Methods | S14: Privacy & Semi-Supervised Methods | S15: Pattern Mining Applications | S16: Industry: Enterprise & Finance | S17: Social Networks | S18: Web & Behavior Mining | S19: Active Learning | S20: Industry: Data Mining Experiences | S21: Dynamic Social Networks | S22: Multi-Relational Mining | S23: Combined: Temporal Data | S24: Industry: Security & Privacy | S25: Frequent Patterns | S26: Web Mining | S27: Combined: Applications | S28: Industry: Information Extraction & Text Mining | Tutorial | W01 StReBio | W02 SensorKDD | W03 CSI-KDD | W04 VAKD | W05 ADKDD | W06 SNA-KDD | W07 HCOMP | W08 DMMT | W09 Case Studies | W10 KDD-Cup | W11 Uncertain Data

Sunday, 28 June 2009


09:00 - 12:30		Tutorial T4: Planning, Running, and Analyzing Controlled Experiments on the Web Roger Longbotham, John Quarto-vonTivadar, Ron Kohavi -- Les Invalides B

14:00 - 17:30		Tutorial T5: Predictive Modelling in the Wild: Success Factors in Data Mining Competitions and Real-World Applications Saharon Rosset, Claudia Perlich -- Les Invalides B
		W11 WORKSHOP: The First ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data (U'09) Jian Pei, Lise Getoor, Ander de Keijzer -- Les Invalides B
		W11> Using Uncertain Chemical and Thermal Data to Predict Product Quality in a Casting Process Catarina Dudas, Henrik Boström -- Les Invalides B

14:05 - 14:40		W11> Invited Talk "Managing and Mining Uncertain Data: What Might We Do Better?" Christopher Jermaine -- Les Invalides B

14:40 - 14:55		W11> Efficient Algorithms for Mining Constrained Frequent Patterns from Uncertain Data Carson K. Leung, D. A. Brajczuk -- Les Invalides B

14:50 - 15:05		W11> Efficient Algorithms for Mining Constrained Frequent Patterns from Uncertain Data Carson K. Leung, Dale Brajczuk -- Les Invalides B

14:55 - 15:10		W11> Identifying Graphs from Noisy and Incomplete Data G. M. S. Namata Jr., Lise Getoor -- Les Invalides B

15:10 - 15:20		W11> On Perturbation Theory and an Algorithm for Maximal Clique Enumeration in Uncertain and Noisy Graphs William Hendrix, Matthew C. Schmidt, Paul Breimyer, Nagiza F. Samatova -- Les Invalides B

15:20 - 15:30		W11> Exploiting Contexts to Deal with Uncertainty in Classification Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos AndrÈ GonÁalves, Leonardo Rocha, Thiago Salles -- Les Invalides B

16:00 - 16:35		W11> Invited talk "Querying and Mining Uncertain Data: Methods, Applications, and Challenges" Matthias Renz -- Les Invalides B

16:35 - 16:50		W11> Learning from Data with Uncertain Labels by Boosting Credal Classifiers Benjamin Quost, Thierry Denúux -- Les Invalides B

17:05 - 17:15		W11> Lazy Naive Credal Classifier Giorgio Corani, Marco Zaffalon -- Les Invalides B

17:15 - 17:25		W11> Decision Support and Profit Prediction for Online Auction Sellers C.-H. Chang, J.-H. Lin -- Les Invalides B