Nitin Indurkhya

	2010
27		Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté: Predictive rule discovery from electronic health records. IHI 2010: 734-743
	2008
26		Sholom M. Weiss, Nitin Indurkhya: Estimating Sales Opportunity Using Similarity-Based Methods. ECML/PKDD (2) 2008: 582-596
	2004
25		Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya: Text categorization for a comprehensive time-dependent benchmark. Inf. Process. Manage. 40(2): 209-221 (2004)
	2002
24		Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya: Experiments in high-dimensional text categorization. SIGIR 2002: 357-358
	2001
23		Nitin Indurkhya, Sholom M. Weiss: Solving regression problems with rule-based ensemble classifiers. KDD 2001: 287-292
22		Nitin Indurkhya, Sholom M. Weiss: Rule-Based Ensemble Solutions for Regression. MLDM 2001: 62-72
21		Sholom M. Weiss, Nitin Indurkhya: Lightweight Collaborative Filtering Method for Binary-Encoded Data. PKDD 2001: 484-491
	2000
20		Sholom M. Weiss, Nitin Indurkhya: Decision-Rule Solutions for Data Mining with Missing Values. IBERAMIA-SBIA 2000: 1-10
19		Sholom M. Weiss, Nitin Indurkhya: Lightweight Rule Induction. ICML 2000: 1135-1142
	1998
18		Nitin Indurkhya, Sholom M. Weiss: Estimating Performance Gains for Voted Decision Trees. Intell. Data Anal. 2(1-4): 303-310 (1998)
	1997
17		Sholom M. Weiss, Nitin Indurkhya: Predictive data mining - a practical guide. Morgan Kaufmann 1997: I-XII, 1-228
	1996
16		Sholom M. Weiss, Nitin Indurkhya: Selecting the Right-Size Model for Prediction. Appl. Intell. 6(4): 261-273 (1996)
	1995
15		Nitin Indurkhya, Sholom M. Weiss: Using Case Data to Improve on Rule-based Function Approximation. ICCBR 1995: 217-228
14		Sholom M. Weiss, Nitin Indurkhya: Rule-based Machine Learning Methods for Functional Prediction. J. Artif. Intell. Res. (JAIR) 3: 383-403 (1995)
	1994
13		Sholom M. Weiss, Nitin Indurkhya: Decision Tree Pruning: Biased or Optimal? AAAI 1994: 626-632
12		Sholom M. Weiss, Nitin Indurkhya: Small Sample Decision tree Pruning. ICML 1994: 335-342
11		Sholom M. Weiss, Nitin Indurkhya: Guest editors' introduction. Appl. Intell. 4(3): 243-244 (1994)
10		Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya: Graph-based induction as a unified learning framework. Appl. Intell. 4(3): 297-316 (1994)
	1993
9		Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models. ALT 1993: 237-250
8		Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya: Unifying Learning Methods by Colored Digraphs. ALT 1993: 342-355
7		Sholom M. Weiss, Nitin Indurkhya: Rule-Based Regression. IJCAI 1993: 1072-1078
6		Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya: Transmembrane Segment Prediction from Protein Sequence Data. ISMB 1993: 420-428
5		Sholom M. Weiss, Nitin Indurkhya: Optimized Rule Induction. IEEE Expert 8(6): 61-69 (1993)
	1992
4		Nitin Indurkhya, Sholom M. Weiss: Heuristic configuration of single hidden-layer feed-forward neural networks. Appl. Intell. 2(4): 325-331 (1992)
	1991
3		Sholom M. Weiss, Nitin Indurkhya: Reduced Complexity Rule Induction. IJCAI 1991: 678-684
2		Nitin Indurkhya, Sholom M. Weiss: Iterative rule induction methods. Appl. Intell. 1(1): 43-54 (1991)
	1989
1		Nitin Indurkhya, Sholom M. Weiss: Models for measuring performance of medical expert systems. Artificial Intelligence in Medicine 1(2): 61-70 (1989)

Coauthor Index

1	Chidanand Apté (Chid Apté)	[27]
2	Dawn M. Cohen	[6]
3	Fred Damerau	[24] [25]
4	Makoto Iwayama	[9]
5	Hiroshi Motoda	[8] [9] [10]
6	Sholom M. Weiss	[1] [2] [3] [4] [5] [6] [7] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27]
7	Kenichi Yoshida	[8] [10]
8	Tong Zhang	[24] [25]

Colors in the list of coauthors

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