SDM 2010: Call For Tutorials

SDM 2010: Accepted Tutorials

Tutorial 1: Ranking Methods in Machine Learning
Shivani Agarwal, Massachusetts Institute of Technology
Slides from Presentation [PDF, 2MB]

Tutorial 2: Mining Sparse Representations: Theory, Algorithms, and Applications
Jun Liu, Shuiwang Ji, and Jieping Ye, Arizona State University
Slides from Presentation [PDF, 4MB]

Tutorial 3: Outlier Detection Techniques
Hans-Peter Kriegel, Peer Kroger, and Arthur Zimek, Ludwig-Maximilians-Universitat Munchen, Germany
Slides from Presentation [PDF, 1.4MB]
Updated Slides from Presentation

Tutorial 4: On the Power of Ensemble: Supervised and Unsupervised Methods Reconciled
Jing Gao, University of Illinois at Urbana-Champaign; Wei Fan, IBM T. J. Watson Research Center; and Jiawei Han, University of Illinois at Urbana-Champaign
Slides from Presentation [PDF, 3MB]
Updated Slides from Presentation [PDF, 3.5MB]

The SIAM Data Mining (SDM10) Organizing Committee invites proposals for tutorials to be held in conjunction with the conference. Tutorials are an effective way to educate and/or provide the necessary background to the intended audience enabling them to understand technical advances.

For SDM10, we are seeking proposals for tutorials on all topics related to data mining. A tutorial may be a theme-oriented comprehensive survey, discuss novel data mining techniques or may center around successful and timely application of data mining in important application areas (e.g. medicine, national security, scientific data analysis). For examples of typical SIAM tutorials, see the set of accepted tutorials at previous SIAM conferences SDM08 and SDM09.

Tutorials are open to all conference attendees without any extra fees. The typical tutorial will be 2 hrs long (longer tutorials will be considered). Previous SDM conferences attracted up to 100 attendees in a tutorial.
Proposals should be submitted electronically by October 9, 2009 to:

Jennifer Dy
Department of Electrical and Computer Engineering
Northeastern University

Proposals should be submitted in PDF format (for other formats please contact the tutorial chair first). Proposals should include the following:


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