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Chidanand Apté
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- affiliation: Thomas J. Watson Research Center, Yorktown Heights, USA
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2010 – 2019
- 2016
- [j23]Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai:
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18(2): 1-4 (2016) - 2013
- [j22]Rajesh Bordawekar, Bob Blainey, Chidanand Apté:
Analyzing analytics. SIGMOD Rec. 42(4): 17-28 (2013) - 2012
- [j21]Chid Apté, Brenda Dietrich, M. Fleming:
Business leadership through analytics. IBM J. Res. Dev. 56(6): 7 (2012) - 2011
- [j20]Jimeng Sun
, Yan Liu, Jie Tang, Chid Apté:
Introduction to Special Issue on Large-Scale Data Mining. ACM Trans. Knowl. Discov. Data 5(2): 7:1 (2011) - [e3]Chid Apté, Joydeep Ghosh, Padhraic Smyth:
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 [contents] - 2010
- [c15]Chid Apté:
The Role of Machine Learning in Business Optimization. ICML 2010: 1-2 - [c14]Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté:
Predictive rule discovery from electronic health records. IHI 2010: 734-743
2000 – 2009
- 2006
- [j19]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
Data mining and clinical data repositories: Insights from a 667, 000 patient data set. Comput. Biol. Medicine 36(12): 1351-1377 (2006) - [c13]Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. 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 - 2005
- [e2]Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner:
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 [contents] - [e1]Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner:
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 [contents] - 2004
- [j18]Petra Perner
Empirical evaluation of feature subset selection based on a real-world data set. Eng. Appl. Artif. Intell. 17(3): 285-288 (2004) - [c12]Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko:
Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772 - 2003
- [j17]Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss:
Data-intensive analytics for predictive modeling. IBM J. Res. Dev. 47(1): 17-24 (2003) - 2002
- [j16]Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
Business applications of data mining. Commun. ACM 45(8): 49-53 (2002) - [j15]Sholom M. Weiss, Chidanand Apté:
Automated generation of model cases for help-desk applications. IBM Syst. J. 41(3): 421-427 (2002) - [j14]Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu:
A probabilistic estimation framework for predictive modeling analytics. IBM Syst. J. 41(3): 438-448 (2002) - [j13]Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss:
Predictive algorithms in the management of computer systems. IBM Syst. J. 41(3): 461-474 (2002) - [c11]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 - 2001
- [c10]Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson:
Segmentation-based modeling for advanced targeted marketing. KDD 2001: 408-413 - 2000
- [j12]Sholom M. Weiss, Brian F. White, Chidanand Apté, Fred Damerau:
Lightweight Document Matching for Help-Desk Applications. IEEE Intell. Syst. 15(2): 57-61 (2000) - [j11]Chidanand Apté, Leora Morgenstern, Se June Hong:
AI at IBM Research. IEEE Intell. Syst. 15(6): 51-57 (2000) - [c9]Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss:
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000: 37-46 - [c8]Vijay S. Iyengar, Chidanand Apté, Tong Zhang:
Active learning using adaptive resampling. KDD 2000: 91-98 - [c7]Petra Perner, Chidanand Apté:
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set. PKDD 2000: 575-580 - [c6]Sholom M. Weiss, Brian F. White, Chidanand Apté:
Leightweight Document Clustering. PKDD 2000: 665-672
1990 – 1999
- 1999
- [j10]Sholom M. Weiss, Chidanand Apté, Fred J. Damerau, David E. Johnson, Frank J. Oles, Thilo Götz, Thomas Hampp:
Maximizing text-mining performance. IEEE Intell. Syst. 14(4): 63-69 (1999) - [j9]Chidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White:
Probabilistic estimation-based data mining for discovering insurance risks. IEEE Intell. Syst. 14(6): 49-58 (1999) - 1998
- [j8]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) - 1997
- [j7]Chidanand Apté, Sholom M. Weiss:
Data mining with decision trees and decision rules. Future Gener. Comput. Syst. 13(2-3): 197-210 (1997) - [c5]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 - 1996
- [p1]Chidanand Apté, Se June Hong:
Predicting Equity Returns from Securities Data. Advances in Knowledge Discovery and Data Mining 1996: 541-560 - 1994
- [j6]Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss:
Case studies in high-dimensional classification. Appl. Intell. 4(3): 269-281 (1994) - [j5]Chidanand Apté, Fred Damerau, Sholom M. Weiss:
Automated Learning of Decision Rules for Text Categorization. ACM Trans. Inf. Syst. 12(3): 233-251 (1994) - [c4]Chidanand Apté, Se June Hong:
Predicting Equity Returns from Securities Data with Minimal Rule Generation. KDD Workshop 1994: 407-418 - [c3]Chidanand Apté, Fred Damerau, Sholom M. Weiss:
Towards Language Independent Automated Learning of Text Categorisation Models. SIGIR 1994: 23-30 - 1992
- [j4]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 J. Res. Dev. 36(3): 409-434 (1992)
1980 – 1989
- 1987
- [j3]Eric Mays, Chidanand Apté, James H. Griesmer, John K. Kastner:
Organizing Knowledge in a Complex Financial Domain. IEEE Expert 2(3): 61-70 (1987) - 1986
- [j2]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 Mag. 7(5): 71-79 (1986) - [c2]Chidanand Apté, Se June Hong:
Using Qualitative Reasoning to Understand Financial Arithmetic. AAAI 1986: 942-949 - 1985
- [j1]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) - 1982
- [c1]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
Coauthor Index
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