III-COR-Small: Multi-Relational Data Clustering with Probabilistic Mixture Models

Funded by: National Science Foundation (NSF)
Duration: Sept 1, 2008 - Aug 31, 2012 (Estimated)
NSF Award 0812183

Principal Investigator:
Arindam Banerjee

Graduate Research Assistants:
Hanhuai Shan
Qiang Fu

Tutorials

• Introduction to Graphical Models for Data Mining
  A. Banerjee
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), (2010) (pdf)(video).
  

Book Chapters

• Discriminative Mixed Membership Models
  H. Shan, and A. Banerjee
  Handbook on Mixed Membership Models, to appear, 2012.
  
  
• Model-based Clustering
  A. Banerjee and H. Shan
  Encyplopedia of Machine Learning, 2011.
  
  
• Discriminative Topic Models
  H. Shan, A. Agovic, and A. Banerjee
  Data Mining in Systems Health Management: Detection, Diagnostics, and Prognostics, 2011.
  

Publications

• If You are Happy and You Know It ... Tweet
  A. A. Taheri, M. Tepper, A. Banerjee, and G. Sapiro.
  ACM Conference on Information and Knowledge Management (CIKM), 2012.
  
  
• Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
  H. Shan, J. Kattge, P. B. Reich, A. Banerjee, F. Schrodt, and M. Reichstein.
  International Conference on Machine Learning (ICML), 2012 (pdf).
  
  
• Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
  T. Zhou, H. Shan, A. Banerjee, and G. Sapiro.
  SIAM International Conference on Data Mining (SDM), 2012 (pdf).
  
  
• Emerging Topic Detection using Dictionary Learning
  S. Kasiviswanathan, P. Melville, A. Banerjee, and V. Sindhwani.
  ACM Conference on Information and Knowledge Management (CIKM), 2011 (pdf).
  
  
• Probabilistic Matrix Addition
  A. Agovic, A. Banerjee, and S. Chatterjee.
  International Conference on Machine Learning (ICML), 2011 (pdf).
  
  
• Mixed-Membership Naive Bayes Models
  H. Shan and A. Banerjee.
  Data Mining and Knowledge Discovery (DMKD), 23(1), 1-62, 2011.
  
  
• Bayesian Cluster Ensembles
  H. Wang, H. Shan, and A. Banerjee.
  Statistical Analysis and Data Mining, 4(1), 54-70, 2011.
  
  
• Generalized Probabilistic Matrix Factorizations for Collaborative Filtering
  H. Shan and A. Banerjee.
  IEEE International Conference on Data Mining (ICDM), 2010 (pdf,longer version).
  
  
• A Generalized Linear Threshold Model for Multiple Cascades
  N. Pathak, A. Banerjee, and J. Srivastava.
  IEEE International Conference on Data Mining (ICDM), 2010 (pdf).
  A related earlier Tech Report.
  
  
• Gaussian Process Topic Models
  A. Agovic and A. Banerjee.
  Conference on Uncertainty in Artificial Intelligence (UAI), (2010) (pdf).
  
  
• Residual Bayesian Co-clustering for Matrix Approximation
  H. Shan and A. Banerjee.
  SIAM International Conference on Data Mining (SDM), (2010) (pdf).
  
  
• Sparsity-cognizant overlapping co-clustering for behavior inference in social networks
  H. Zhu, G. Mateos, G. B. Giannakis, N. D. Sidiropoulus, and A. Banerjee
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , (2010) (pdf).
  
  
• Discriminative Mixed-membership Models
  H. Shan, A. Banerjee, and N. Oza.
  IEEE International Conference on Data Mining (ICDM), (2009) (pdf).
  
  
• Bayesian Overlapping Subspace Clustering
  Q. Fu and A. Banerjee.
  IEEE International Conference on Data Mining (ICDM), (2009) (pdf).
  
  
• Keep it Simple with Time: A re-examination of Probabilistic Topic Detection Models
  Q. He, K. Chang, E.-P. Lim, and A. Banerjee.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), (2009) (pdf).
  
  
• Approximation Algorithms for Tensor Clustering
  S. Jegelka, S. Sra, and A. Banerjee.
  The 20th International Conference on Algorithmic Learning Theory (ALT), (2009) (pdf).
  
  
• Bayesian Cluster Ensembles
  H. Wang, H. Shan, A. Banerjee.
  SIAM International Conference on Data Mining (SDM), (2009) (pdf).
  
  
• Mixed-Membership Naive Bayes Models
  H. Shan, A. Banerjee.
  Technical Report, TR-09-002, Dept of Computer Science & Engineering, University of Minnesota, Twin Cities, (2009) (pdf).
  
  
• Bayesian Co-clustering
  H. Shan, A. Banerjee.
  IEEE International Conference on Data Mining (ICDM), (2008) (pdf).
  
  
• Multiplicative Mixture Models for Overlapping Clustering
  Q. Fu, A. Banerjee.
  IEEE International Conference on Data Mining (ICDM), (2008) (pdf).
  
  

Related Earlier Publications

• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
  A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, D. Modha.
  Journal of Machine Learning Research (JMLR), (2007) (pdf).
  
  
• Latent Dirichlet Conditional Naive Bayes Models
  A. Banerjee and H. Shan.
  IEEE International Conference on Data Mining (ICDM) (2007) (pdf).
• Multi-way Clustering on Relation Graphs
  A. Banerjee, S. Basu, S. Merugu.
  SIAM International Conference on Data Mining (SDM) (2007) (pdf).