Chidanand Apté

Jimeng Sun, Yan Liu, Jie Tang, Chid Apté: Introduction to Special Issue on Large-Scale Data Mining. TKDD 5(2): 7 (2011)

Chid Apté, Joydeep Ghosh, Padhraic Smyth (Eds.): Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011. ACM 2011, isbn 978-1-4503-0813-7

Chid Apté: The Role of Machine Learning in Business Optimization. ICML 2010: 1-2

Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté: Predictive rule discovery from electronic health records. IHI 2010: 734-743

Irene M. Mullins, Mir S. Siadaty, Jason A. Lyman, Ken Scully, Carleton T. Garrett, W. Greg Miller, Rudy Muller, Barry Robson, Chid Apté, Sholom M. Weiss, Isidore Rigoutsos, Daniel E. Platt, Simona Cohen, William A. Knaus: Data mining and clinical data repositories: Insights from a 667, 000 patient data set. Comp. in Bio. and Med. 36(12): 1351-1377 (2006)

Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté: Using secure coprocessors for privacy preserving collaborative data mining and analysis. DaMoN 2006: 1

Sameer Singh, Maneesha Singh, Chidanand Apté, Petra Perner (Eds.): Pattern Recognition and Data Mining, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3686, Springer 2005, isbn 3-540-28757-4

Sameer Singh, Maneesha Singh, Chidanand Apté, Petra Perner (Eds.): Pattern Recognition and Image Analysis, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3687, Springer 2005, isbn 3-540-28833-3

Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko: Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772

Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss: Data-intensive analytics for predictive modeling. IBM Journal of Research and Development 47(1): 17-24 (2003)

Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth: Business applications of data mining. Commun. ACM 45(8): 49-53 (2002)

Sholom M. Weiss, Chidanand Apté: Automated generation of model cases for help-desk applications. IBM Systems Journal 41(3): 421-427 (2002)

Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu: A probabilistic estimation framework for predictive modeling analytics. IBM Systems Journal 41(3): 438-448 (2002)

Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002)

Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté: Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10

Chidanand Apté, E. Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson: Segmentation-based modeling for advanced targeted marketing. KDD 2001: 408-413

Sholom M. Weiss, Brian F. White, Chidanand Apté, Fred Damerau: Lightweight Document Matching for Help-Desk Applications. IEEE Intelligent Systems 15(2): 57-61 (2000)

Chidanand Apté, Leora Morgenstern, Se June Hong: AI at IBM Research. IEEE Intelligent Systems 15(6): 51-57 (2000)

Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss: Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000: 37-46

Vijay S. Iyengar, Chidanand Apté, Tong Zhang: Active learning using adaptive resampling. KDD 2000: 91-98

Petra Perner, Chidanand Apté: Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set. PKDD 2000: 575-580

Sholom M. Weiss, Brian F. White, Chidanand Apté: Leightweight Document Clustering. PKDD 2000: 665-672

Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen: Decomposition of Heterogeneous Classification Problems. Intell. Data Anal. 2(1-4): 81-96 (1998)

Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen: Decomposition of Heterogeneous Classification Problems. IDA 1997: 17-28

Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data. Advances in Knowledge Discovery and Data Mining 1996: 541-560

Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss: Case studies in high-dimensional classification. Appl. Intell. 4(3): 269-281 (1994)

Chidanand Apté, Fred Damerau, Sholom M. Weiss: Automated Learning of Decision Rules for Text Categorization. ACM Trans. Inf. Syst. 12(3): 233-251 (1994)

Chidanand Apté, Se June Hong: Predicting Equity Returns from Securities Data with Minimal Rule Generation. KDD Workshop 1994: 407-418

Chidanand Apté, Fred Damerau, Sholom M. Weiss: Towards Language Independent Automated Learning of Text Categorisation Models. SIGIR 1994: 23-30

Chidanand Apté, Robert Dionne, James H. Griesmer, Maurice Karnaugh, John K. Kastner, Meir Laker, Eric Keener Mays: An experiment in constructing an open expert system using a knowledge substrate. IBM Journal of Research and Development 36(3): 409-434 (1992)

John K. Kastner, Chidanand Apté, James H. Griesmer, Se June Hong, Maurice Karnaugh, Eric Mays, Yoshio Tozawa: A Knowledge-Based Consultant for Financial Marketing. AI Magazine 7(5): 71-79 (1986)

Chidanand Apté, Se June Hong: Using Qualitative Reasoning to Understand Financial Arithmetic. AAAI 1986: 942-949

Chidanand Apté, Sholom M. Weiss: An Approach to Expert Control of Interactive Software Systems. IEEE Trans. Pattern Anal. Mach. Intell. 7(5): 586-591 (1985)

Sholom M. Weiss, Casimir A. Kulikowski, Chidanand Apté, Michael Uschold, Jay Patchett, Robert Brigham, Belynda Spitzer: Building Expert Systems for Controlling Complex Programs. AAAI 1982: 322-326