-
1
-
-
84880468771
-
Mining newsgroups using networks arising from social behavior
-
R. Agrawal, S. Rajagopalan, R. Srikant, and Y. Xu. Mining newsgroups using networks arising from social behavior. In Proceedings of the World Wide Web Conference, pages 529-535, 2003.
-
(2003)
Proceedings of the World Wide Web Conference
, pp. 529-535
-
-
Agrawal, R.1
Rajagopalan, S.2
Srikant, R.3
Xu, Y.4
-
3
-
-
33646400809
-
Community mining from multi-relational networks
-
D. Cai, Z. Shao, X. He, X. Yan, and J. Han. Community mining from multi-relational networks. In Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, 2005.
-
(2005)
Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases
-
-
Cai, D.1
Shao, Z.2
He, X.3
Yan, X.4
Han, J.5
-
4
-
-
0032090684
-
Enhanced hypertext categorization using hyperlinks
-
S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pages 307-318, 1998. (Pubitemid 128655978)
-
(1998)
SIGMOD Record
, vol.27
, Issue.2
, pp. 307-318
-
-
Chakrabarti, S.1
Dom, B.2
Indyk, P.3
-
9
-
-
38049146447
-
Joint group and topic discovery from relations and text
-
A. McCallum, X. Wang, and N. Mohanty. Joint group and topic discovery from relations and text. In Statistical Network Analysis: Models, Issues and New Directions, Lecture Notes in Computer Science 4503, pages 28-44, 2007.
-
(2007)
Statistical Network Analysis: Models, Issues and New Directions, Lecture Notes in Computer Science 4503
, pp. 28-44
-
-
McCallum, A.1
Wang, X.2
Mohanty, N.3
-
10
-
-
29244457315
-
Discovering evolutionary theme patterns from text - An exploration of Temporal Text Mining
-
KDD-2005 - Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
Q. Mei and C. Zhai. Discovering evolutionary theme patterns from text - an exploration of temporal text mining. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 198-207, 2005. (Pubitemid 43218281)
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 198-207
-
-
Mei, Q.1
Zhai, C.2
-
11
-
-
33847199383
-
Ontologies are us: A unified model of social networks and semantics
-
P. Mika. Ontologies are us: A unified model of social networks and semantics. In Journal of Web Semantics, pages 5-15, 2007.
-
(2007)
Journal of Web Semantics
, pp. 5-15
-
-
Mika, P.1
-
12
-
-
32344439564
-
Using relational knowledge discovery to prevent securities fraud
-
DOI 10.1145/1081870.1081922, KDD-2005 - Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
J. Neville, O. Şimşek, D. Jensen, J. Komoroske, K. Palmer, and H. Goldberg. Using relational knowledge discovery to prevent securities fraud. In Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 449-458, 2005. (Pubitemid 43218307)
-
(2005)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 449-458
-
-
Neville, J.1
Simsek, O.2
Jensen, D.3
Komoroske, J.4
Palmer, K.5
Goldberg, H.6
-
13
-
-
77952399122
-
Learning relational probability trees
-
J. Neville, D. Jensen, L. Friedland, and M. Hay. Learning relational probability trees. In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 625-630, 2003.
-
(2003)
Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 625-630
-
-
Neville, J.1
Jensen, D.2
Friedland, L.3
Hay, M.4
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