Talks in: Louis Armstrong C & D

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		W09 WORKSHOP: Data Mining Case Studies and Practice Prize (DMCS #3) Gabor Melli, Peter van der Putten, Brendan Kitts -- Louis Armstrong C & D
		W09> A Practical Approach to Combine Data Mining and Prognostics for Improved Predictive Maintenance Abdellatif Bey-Temsamani, Marc Engels, Andy Motten, Steve Vandenplas, Agusmian P. Ompusunggu -- Louis Armstrong C & D
		W09> Clickfraud Bot Detection: High Stakes Adversarial Signal Detection Brendan Kitts, Albert Roux, Jing Ying Zhang, Raj Mahato, Ron Mills, Wesley Brandi, Kamran Kanany, Matthew Rice, Gang Wu -- Louis Armstrong C & D
		W09> Correlation Explorations in a Classification Model Vincent Lemaire, Carine Hue, Olivier Bernier -- Louis Armstrong C & D
		W09> Data Mining Approach to Credit Risk Evaluation of Online Personal Loan Applicants Pavel Brusilovsky -- Louis Armstrong C & D
		W09> Data Mining Based Tax Audit Selection: A Case Study from Minnesota Department of Revenue Kuo-Wei Hsu, Nishith Pathak, Jaideep Srivastava, Greg Tschida, Eric Bjorklund -- Louis Armstrong C & D
		W09> Data mining for intelligence led policing R. van der Veer, H. T. Roos, A. van der Zanden -- Louis Armstrong C & D
		W09> Estimating Potential Customer Value using a classification technique to determine customer value Thiery Vallaud, Daniel Larose -- Louis Armstrong C & D
		W09> Identification of Independent Individualistic Predictors of Mail Order Pharmacy Prescription Utilization of Healthcare Claims Aishwarya Meenakshi Sundar, Jaideep Srivastava -- Louis Armstrong C & D
		W09> Migration of Data Mining Pre-processing into the DBMS Carlos Ordonez, Javier García-García, Michael J. Rote -- Louis Armstrong C & D
		W09> Mining Medical Images Glenn Fung, Balaji Krhnapuram, Jinbo Bi, Murat Dundar, Vikas Raykar, Romer Rosales, Sriram Krishnan, R. Bharat Rao -- Louis Armstrong C & D
		W09> Online Experimentation at Microsoft Ron Kohavi, Thomas Crook, Roger Longbotham -- Louis Armstrong C & D

14:00 - 17:30		Tutorial T7: Event Detection Daniel Neill, Weng-Keen Wong -- Louis Armstrong C & D