"Basu, Sugato." appeared in Books and Chapters

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"Basu, Sugato." appeared in Books and Chapters

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Book	Author(s)	Year	Publisher
Constrained Clustering: Advances in Algorithms, Theory, and Applications	Sugato Basu; Ian Davidson; Kiri Wagstaff	2008	Routledge
Constrained clustering: advances in algorithms, theory, and applications /	Basu, Sugato.; Davidson, Ian,; Wagstaff, Kiri Lou.	c2009.	CRC Press,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Semi-Supervised Learning	Sugato Basu	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Probabilistic Semi-Supervised Clustering with Constraints	Basu Sugato	Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Semi-supervised Learning	Sugato Basu	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2nd ed. 2018	Springer New York
Semi-Supervised Learning	Sugato Basu	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	0th ed. 2020	Springer New York
Constrained Partitional Clustering of Text Data: An Overview	Sugato Basu; Ian Davidson	Text Mining: Classification, Clustering, and Applications	Ashok N. Srivastava; Mehran Sahami	2009	Routledge
A Framework for Deep Constrained Clustering - Algorithms and Advances	Hongjing Zhang; Sugato Basu; Ian Davidson	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I	Ulf Brefeld; Elisa Fromont; Andreas Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet	1st ed. 2020	Springer International Publishing
Measuring Constraint-Set Utility for Partitional Clustering Algorithms	Ian Davidson; Kiri L. Wagstaff; Sugato Basu	Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings	Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou	2006	Springer Berlin Heidelberg
Introduction	Sugato Basu; Ian Davidson; Kiri L. Wagstaff	Constrained Clustering: Advances in Algorithms, Theory, and Applications	Sugato Basu; Ian Davidson; Kiri Wagstaff	2008	Routledge
1. Introduction	Sugato Basu, Ian Davidson and Kiri L. Wagstaff	Constrained clustering: advances in algorithms, theory, and applications /	Basu, Sugato.; Davidson, Ian,; Wagstaff, Kiri Lou.	c2009.	CRC Press,
Active semi-supervision for pairwise constrained clustering	Sugato Basu, Arindam Banerjee and Raymond J. Mooney	Proceedings of the Fourth SIAM International Conference on Data Mining /	Berry, Michael W.	[2004], ©2004.	Society for Industrial and Applied Mathematics,
Holistic strategies to mitigate the economic, societal, and health burden of the Coronavirus disease-2019 pandemic	Amitava Basu; Sugato Banerjee; Amalendu Samanta; Rakhi Chowdhury; Subhamay Panda	Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection	Ajeet Kaushik; Arpana Parihar; Ashok Kumar; Hardik Gohel and Raju Khan	2022	Academic Press
2 - MapReduce and Its Application to Massively Parallel Learning of Decision Tree Ensembles	Biswanath Panda; Joshua S. Herbach; Sugato Basu; Roberto J. Bayardo	Scaling up Machine Learning: Parallel and Distributed Approaches	Ron Bekkerman; Mikhail Bilenko; John Langford	2011-12	Cambridge University Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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