Kamal Nigam

2005
13	EE	Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo: Deriving marketing intelligence from online discussion. KDD 2005: 419-428
12	EE	Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo: Analyzing online discussion for marketing intelligence. WWW (Special interest tracks and posters) 2005: 1172-1173
2004
11	EE	Matthew F. Hurst, Kamal Nigam: Retrieving topical sentiments from online document collections. DRR 2004: 27-34
2000
10	EE	Kamal Nigam, Rayid Ghani: Analyzing the Effectiveness and Applicability of Co-training. CIKM 2000: 86-93
9	EE	Andrew McCallum, Kamal Nigam, Lyle H. Ungar: Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178
8	EE	Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118(1-2): 69-113 (2000)
7		Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: Automating the Construction of Internet Portals with Machine Learning. Inf. Retr. 3(2): 127-163 (2000)
6		Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning 39(2/3): 103-134 (2000)
1999
5		Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore: A Machine Learning Approach to Building Domain-Specific Search Engines. IJCAI 1999: 662-667
1998
4		Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery: Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998: 509-516
3		Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell: Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI 1998: 792-799
2		Mark Craven, Seán Slattery, Kamal Nigam: First-Order Learning for Web Mining. ECML 1998: 250-255
1		Andrew McCallum, Kamal Nigam: Employing EM and Pool-Based Active Learning for Text Classification. ICML 1998: 350-358

Coauthor Index

1	Mark Craven	[2] [4] [8]
2	Dan DiPasquo	[4] [8]
3	Dayne Freitag	[4] [8]
4	Rayid Ghani	[10]
5	Natalie S. Glance	[12] [13]
6	Matthew Hurst	[12] [13]
7	Matthew F. Hurst	[11]
8	Andrew McCallum	[1] [3] [4] [5] [6] [7] [8] [9]
9	Tom M. Mitchell	[3] [4] [6] [8]
10	Jason Rennie	[5] [7]
11	Kristie Seymore	[5] [7]
12	Matthew Siegler	[12] [13]
13	Seán Slattery	[2] [4] [8]
14	Robert Stockton	[12] [13]
15	Sebastian Thrun	[3] [6]
16	Takashi Tomokiyo	[12] [13]
17	Lyle H. Ungar	[9]

Colors in the list of coauthors