PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce, Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo, Proc. of the 35th Int'l Conf. on Very Large Data Bases (VLDB-2009) (to appear).
Predicting Bounce Rates in Sponsored Search Advertisements, D. Sculley, Robert Malkin, Sugato Basu, Roberto J. Bayardo, Proc. of the 15th International ACM-SIGKDD Conference on Knowledge Discovery and Data Mining, 2009, pp. 1325-1334.
A Social Query Model for Decentralized Search, Arindam Banerjee, Sugato Basu, Second ACM Workshop on Social Network Mining and Analysis at the KDD Conference (SNAKDD-08), 2008.
Constrained Clustering: Advances in Algorithms, Theory, and Applications, Sugato Basu, Ian Davidson, Kiri Wagstaff, 2008.
iLink: Search and Routing in Social Networks, Jeffrey Davitz, Jiye Yu, Sugato Basu, David Gutelius, Alexandra Harris, Proc. 13th KDD, 2007, pp. 931-940.
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping, Mikhail Bilenko, Sugato Basu, Mehran Sahami, Proceedings of the 5th IEEE International Conference on Data Mining, 2005, pp. 58-65.
Model-based overlapping clustering, Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney, KDD, 2005.
Semi-supervised graph clustering: a kernel approach, Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney, ICML, 2005, pp. 457-464.
A probabilistic framework for semi-supervised clustering, Sugato Basu, Mikhail Bilenko, Raymond J. Mooney, KDD, 2004.
Active Semi-Supervision for Pairwise Constrained Clustering, Sugato Basu, Arindam Banerjee, Raymond J. Mooney, SDM, 2004.
Integrating constraints and metric learning in semi-supervised clustering, Mikhail Bilenko, Sugato Basu, Raymond J. Mooney, ICML, 2004.
Semi-supervised Clustering by Seeding, Sugato Basu, Arindam Banerjee, Raymond J. Mooney, ICML, 2002.
Evaluating the novelty of text-mined rules using lexical knowledge, Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh, KDD, 2001, pp. 233-238.