Data Mining Reading Group

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Overview
The Data Mining Group was created in September 1999 by Professor Lyle Ungar with the goal of bringing together academics, professionals and students of diverse backgrounds interested in various applications of a rapidly growing discipline of Data Mining.
Group Mailing List data-mining-group@lists.seas.upenn.edu

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Next Meeting
Date: February 1, Friday
Time: 3:30 pm
Location: 512 Levine Hall
Reading: S. Balakrishnan, D. Madigan, Algorithms for Sparse Linear Classifiers in the Massive Data Setting, JLMR 2007
Readings
Forthcoming Reading Assignments
Sooner or Later...
KoyutÜrk et al., 2006, Pairwise Alignment of Protein Interaction Networks, J. of Computational Biology
Gondek, D., Hofmann, T., 2005, Non-Redundant Clustering with Conditional Ensembles, SIGKDD 2005

You ADD More...

Previous Reading Assignments
Sep 15 2006 Ulrike von Luxburg: A Tutorial on Spectral Clustering
Sep 29 2006 Tishby et al., 1999, The Information Bottleneck Method, Allerton Conference 1999
Oct 13 2006 Andrew Y. Ng, 2004, Feature selection, L1 vs. L2 regularization, and rotational invariance, ICML 2004
Nov 3 2006 Zha et al., 2001, Spectral Relaxation for K-means Clustering, NIPS 2001
Nov 3 2006 Ding et al., 2004, K-means Clustering via Principal Component Analysis, ICML 2004
Nov 17 2006 Daniel D. Lee and H. Sebastian Seung, Learning the parts of objects by non-negative matrix factorization, Nature, 401(6755):788-791, 1999 October.
Nov 17 2006 A. d'Aspremont, L. El Ghaoui, M. Jordan, G. Lanckriet, A direct formulation for sparse PCA using semidefinite programming, 2004
Dec 1 2006 E. Candes, T. Tao, The Dantzig Selector: Statistical estimation when p is much larger than n.
Oct 5 2007
Oct 5 2007
Oct 12 2007 Y.W. Teh, M.I. Jordan, M.J. Beal, D.M. Blei, Hierarchical Dirichlet Processes
Oct 12 2007 I. Bhattacharya, L. Getoor, A latent Dirichlet Model for Unsupervised Entity Resolution
Oct 26 2007 N. Bansal, A. Blum, S.Chawla, Correlation Clustering, Machine Learning 2004
Nov 16 2007 F. Liang, S. Mukherjee, M. West, The Use of Unlabeled Data in Predictive Modeling, Statistical Science 2007
Dec 07 2007 H. Zou, T. Hastie, Regularization and variable selection via the elastic net, JRSSB05
Jan 18 2008 D. Blei, J. McAuliffe, Supervised Topic Models, NIPS 2007
Feb 01 2008 S. Balakrishnan, D. Madigan, Algorithms for Sparse Linear Classifiers in the Massive Data Setting, JLMR 2007

the Pre-previous Readings

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