-
1
-
-
34848818026
-
Aggregating inconsistent information: Ranking and clustering
-
DOI 10.1145/1060590.1060692, STOC'05: Proceedings of the 37th Annual ACM Symposium on Theory of Computing
-
Ailon, N., Charikar, M., Newman, A.: Aggregating inconsistent information: ranking and clustering. In: Proc. 37th Annual ACM Symposium on Theory of Computing, pp. 684-693 (2005) (Pubitemid 43098641)
-
(2005)
Proceedings of the Annual ACM Symposium on Theory of Computing
, pp. 684-693
-
-
Ailon, N.1
Charikar, M.2
Newman, A.3
-
2
-
-
78049267091
-
-
Anti-Phishing Working Group, retrieved April 2010
-
Anti-Phishing Working Group (2009), http://apwg.org/(retrieved April 2010)
-
(2009)
-
-
-
3
-
-
45549104169
-
Modified global k-means algorithm for minimum sum-of-squares clustering problems
-
Bagirov, A. M.: Modified global k-means algorithm for minimum sum-of-squares clustering problems. Pattern Recognition 41, 3192-3199 (2008)
-
(2008)
Pattern Recognition
, vol.41
, pp. 3192-3199
-
-
Bagirov, A.M.1
-
4
-
-
0003922190
-
-
2nd edn. Wiley-Interscience, Hoboken
-
Duda, R. O., Hart, P. E., Stork, D. G.: Pattern Classification, 2nd edn. Wiley-Interscience, Hoboken (2001)
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
5
-
-
78049267997
-
Cluster ensembles for high dimensional clustering: An empirical study
-
Fern, X. Z., Brodley, C. E.: Cluster ensembles for high dimensional clustering: an empirical study. J. Machine Learning Research (2004)
-
(2004)
J. Machine Learning Research
-
-
Fern, X.Z.1
Brodley, C.E.2
-
6
-
-
14344258244
-
Solving cluster ensemble problems by bipartite graph partitioning
-
Banff, Alberta, Canada, July 4-8, ACM, New York
-
Fern, X. Z., Brodley, C. E.: Solving cluster ensemble problems by bipartite graph partitioning. In: Proc. 21st Internat. Conference on Machine Learning, ICML 2004, Banff, Alberta, Canada, July 4-8, vol. 69, p. 36. ACM, New York (2004)
-
(2004)
Proc. 21st Internat. Conference on Machine Learning, ICML 2004
, vol.69
, pp. 36
-
-
Fern, X.Z.1
Brodley, C.E.2
-
7
-
-
35348913799
-
Learning to detect phishing emails
-
DOI 10.1145/1242572.1242660, 16th International World Wide Web Conference, WWW2007
-
Fette, I., Sadeh, N., Tomasic, A.: Learning to detect phishing emails. In: Proc. 16th Internat. Conf. on the World Wide Web, WWW 2007, pp. 649-656. ACM Press, New York (2007) (Pubitemid 47582294)
-
(2007)
16th International World Wide Web Conference, WWW2007
, pp. 649-656
-
-
Fette, I.1
Sadeh, N.2
Tomasic, A.3
-
8
-
-
35048863815
-
Heterogeneous Data Integration with the Consensus Clustering Formalism
-
Data Integration in the Life Sciences
-
Filkov, V., Skiena, S.: Heterogeneous data integration with the consensus clustering formalism. In: Proc. of Data Integration in the Life Sciences, pp. 110-123 (2004) (Pubitemid 38458753)
-
(2004)
LECTURE NOTES IN COMPUTER SCIENCE
, Issue.2994
, pp. 110-123
-
-
Filkov, V.1
Skiena, S.2
-
11
-
-
84893405732
-
Data clustering: A review
-
Jain, A. K., Murty, M. N., Flynn, P. J.: Data clustering: a review. ACM Computing Surveys 31(3), 264-323 (1999)
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
12
-
-
0002409860
-
A probabilistic analysis of the Rocchio algorithm with TF-IDF for text categorization
-
Joachims, T.: A probabilistic analysis of the Rocchio algorithm with TF-IDF for text categorization. In: Proc. 14th Internat. Conf. Machine Learning, pp. 143-151 (1997)
-
(1997)
Proc. 14th Internat. Conf. Machine Learning
, pp. 143-151
-
-
Joachims, T.1
-
13
-
-
85006288116
-
A new model for classifying DNA code inspired by neural networks and FSA
-
Hoffmann, A., Kang, B.-h., Richards, D., Tsumoto, S. eds., Springer, Heidelberg
-
Kang, B. H., Kelarev, A. V., Sale, A. H. J., Williams, R. N.: A new model for classifying DNA code inspired by neural networks and FSA. In: Hoffmann, A., Kang, B.-h., Richards, D., Tsumoto, S. (eds.) PKAW 2006. LNCS (LNAI), vol. 4303, pp. 187-198. Springer, Heidelberg (2006)
-
(2006)
PKAW 2006. LNCS (LNAI)
, vol.4303
, pp. 187-198
-
-
Kang, B.H.1
Kelarev, A.V.2
Sale, A.H.J.3
Williams, R.N.4
-
14
-
-
0003734628
-
METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices
-
University of Minnesota, Department of Computer Science and Engineering, Army HPC Research Centre, Minneapolis
-
Karypis, G., Kumar, V.: METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices, Technical Report, University of Minnesota, Department of Computer Science and Engineering, Army HPC Research Centre, Minneapolis (1998)
-
(1998)
Technical Report
-
-
Karypis, G.1
Kumar, V.2
-
15
-
-
72449167874
-
Determining provenance in phishing websites using automated conceptual analysis
-
Tacoma, WA
-
Layton, R., Watters, P.: Determining provenance in phishing websites using automated conceptual analysis. In: Proc. 4th Annual APWG eCrime Researchers Summit, Tacoma, WA (2009)
-
(2009)
Proc. 4th Annual APWG ECrime Researchers Summit
-
-
Layton, R.1
Watters, P.2
-
16
-
-
72849152291
-
Using differencing to increase distinctiveness for phishing website clustering
-
Brisbane, Australia
-
Layton, R., Brown, S., Watters, P.: Using differencing to increase distinctiveness for phishing website clustering. In: Proc. Cybercrime and Trustworthy Computing Workshop, CTC 2009, Brisbane, Australia (2009)
-
(2009)
Proc. Cybercrime and Trustworthy Computing Workshop, CTC 2009
-
-
Layton, R.1
Brown, S.2
Watters, P.3
-
17
-
-
0036487280
-
The global k-means clustering algorithm
-
DOI 10.1016/S0031-3203(02)00060-2, PII S0031320302000602
-
Likas, A., Vlassis, N., Verbeek, J. J.: The global k-means clustering algorithm. Pattern Recognition 36, 451-461 (2003) (Pubitemid 35212840)
-
(2002)
Pattern Recognition
, vol.36
, Issue.2
, pp. 451-461
-
-
Likas, A.1
Vlassis, N.2
J. Verbeek, J.3
-
19
-
-
78049265681
-
-
OECD Task Force on Spam, OECD Anti-Spam Toolkit and its Annexes, retrieved April 2010
-
OECD Task Force on Spam, OECD Anti-Spam Toolkit and its Annexes (2009), http://www.oecd-antispam.org/(retrieved April 2010)
-
(2009)
-
-
-
20
-
-
0041965980
-
Cluster ensembles-A knowledge reuse framework for combining multiple partitions
-
Strehl, A., Ghosh, J.: Cluster ensembles-a knowledge reuse framework for combining multiple partitions. J. Machine Learning Research 3, 583-617 (2002)
-
(2002)
J. Machine Learning Research
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
21
-
-
25144439604
-
-
Addison Wesley, Reading
-
Tan, P. N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Addison Wesley, Reading (2005)
-
(2005)
Introduction to Data Mining
-
-
Tan, P.N.1
Steinbach, M.2
Kumar, V.3
-
23
-
-
70349238123
-
Combining multiple weak clusterings
-
Topchy, A., Jain, A. K., Punch, W.: Combining multiple weak clusterings. In: Proc. IEEE Internat. Conf. on Data Mining, pp. 331-338 (2003)
-
(2003)
Proc. IEEE Internat. Conf. on Data Mining
, pp. 331-338
-
-
Topchy, A.1
Jain, A.K.2
Punch, W.3
-
25
-
-
76449120682
-
Experimental investigation of classification algorithms for ITS dataset
-
Hanoi, Vietnam, December 15-16
-
Yearwood, J. L., Kang, B. H., Kelarev, A. V.: Experimental investigation of classification algorithms for ITS dataset. In: PKAW 2008, Pacific Rim Knowledge Acquisition Workshop, Hanoi, Vietnam, December 15-16, pp. 262-272 (2008)
-
(2008)
PKAW 2008, Pacific Rim Knowledge Acquisition Workshop
, pp. 262-272
-
-
Yearwood, J.L.1
Kang, B.H.2
Kelarev, A.V.3
|