-
2
-
-
0242540443
-
Sequential pattern mining using a bitmap representation
-
Ayres, J., Flannick, J., Gehrke, J., and Yiu, T. 2002. Sequential pattern mining using a bitmap representation. In Proceedings of the ACM International Conference on Knowledge discovery and data mining (SIGKDD), pp. 429-135.
-
(2002)
Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD)
, pp. 429-1135
-
-
Ayres, J.1
Flannick, J.2
Gehrke, J.3
Yiu, T.4
-
3
-
-
26944461753
-
Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data
-
San Fransico. CA
-
Ertoz, L., Steinbach, M., and Kumar, V. 2003. Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data. In Third SIAM International Conference on Data Mining(SDM), San Fransico. CA, pp. 47-58.
-
(2003)
Third SIAM International Conference on Data Mining(SDM)
, pp. 47-58
-
-
Ertoz, L.1
Steinbach, M.2
Kumar, V.3
-
4
-
-
0016533974
-
A branch and bound algorithm for computing k-nearest neighbours
-
Fukunaga, K.K. and Natendra, P.M. 1975. A branch and bound algorithm for computing k-nearest neighbours. IEEE Transactions on Computers, 24: 750-753.
-
(1975)
IEEE Transactions on Computers
, vol.24
, pp. 750-753
-
-
Fukunaga, K.K.1
Natendra, P.M.2
-
5
-
-
0032789448
-
Multiple sequence alignment: Algorithms and applications
-
Gotoh, O. 1999. Multiple sequence alignment: Algorithms and applications. Adv. Biophys., 36: 159-206.
-
(1999)
Adv. Biophys.
, vol.36
, pp. 159-206
-
-
Gotoh, O.1
-
6
-
-
0004137004
-
-
Cambridge Univ. Press, Cambridge, England
-
Gusfield, D. 1997. Algorithms on strings, trees, and sequences: Computer science and computational biology. Cambridge Univ. Press, Cambridge, England.
-
(1997)
Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology
-
-
Gusfield, D.1
-
7
-
-
84893405732
-
Data clustering: A review
-
Jain, A.K., Murty, M.N., and Flynn, P.J. 1999. Data clustering: A review. ACM Computing Surveys, 31(3): 264-323.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
8
-
-
0001880210
-
KDD-CUP 2000 organizers' report: Peeling the onion
-
Kohavi, R., Brodley, C., Frasca, B., Mason, L., and Zheng, Z. 2000. KDD-CUP 2000 Organizers' Report: Peeling the Onion. In Proc. SIGKDD Explorations, 2: 86-98.
-
(2000)
Proc. SIGKDD Explorations
, vol.2
, pp. 86-98
-
-
Kohavi, R.1
Brodley, C.2
Frasca, B.3
Mason, L.4
Zheng, Z.5
-
9
-
-
33646566942
-
Benchmarking the effectiveness of sequential pattern mining methods
-
forthercoming
-
Kum, H.C., Chang, J.H., and Wang, W. 2006. Benchmarking the Effectiveness of Sequential Pattern Mining Methods. Data and Knowledge Engineering, special issue on Intelligent Data Mining, forthercoming.
-
(2006)
Data and Knowledge Engineering, Special Issue on Intelligent Data Mining
-
-
Kum, H.C.1
Chang, J.H.2
Wang, W.3
-
10
-
-
33646587149
-
Comparitive study of sequential pattern mining models
-
Springer
-
Kum, H.C., Paulsen, S., and Wang, W. 2005. Comparitive Study of Sequential Pattern Mining Models. Studies in Computational Intelligence: Foundations of Data Mining and Knowledge Discovery, Vol. 6, Springer, pp. 45-71.
-
(2005)
Studies in Computational Intelligence: Foundations of Data Mining and Knowledge Discovery
, vol.6
, pp. 45-71
-
-
Kum, H.C.1
Paulsen, S.2
Wang, W.3
-
11
-
-
18544363847
-
ApproxMAP: Approximate mining of consensus sequential patterns
-
San Fransico, CA
-
Kum, H.C., Pei, J., Wang, W., and Duncan, D. 2003. ApproxMAP: Approximate mining of consensus sequential patterns. In Third SIAM International Conference on Data Mining(SDM), San Fransico, CA, pp. 311-315.
-
(2003)
Third SIAM International Conference on Data Mining(SDM)
, pp. 311-315
-
-
Kum, H.C.1
Pei, J.2
Wang, W.3
Duncan, D.4
-
13
-
-
0035016443
-
PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth
-
Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., and Hsu, M.C. 2001. PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth. In Proc. of International Conference on Data Engineering (ICDE), pp. 215-224.
-
(2001)
Proc. of International Conference on Data Engineering (ICDE)
, pp. 215-224
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Pinto, H.4
Chen, Q.5
Dayal, U.6
Hsu, M.C.7
-
14
-
-
22044455069
-
Density based clustering in spatial databases: The algorithm gdbscan and its applications
-
Sander, J., Ester, M., Kriegel, H.P., and Xu, X. 1998. Density based clustering in spatial databases: The algorithm gdbscan and its applications. Data Mining and Knowledge Discovery, 2(2): 169-194.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 169-194
-
-
Sander, J.1
Ester, M.2
Kriegel, H.P.3
Xu, X.4
-
18
-
-
0033168097
-
A comprehensive comparison of multiple sequence alignment programs
-
Oxford Univ. Press
-
Thompson, J., Plewniak, F., and Poch, O. 1999. A comprehensive comparison of multiple sequence alignment programs. Oxford Univ. Press. Nucleic Acids Research, 27(13): 2682-2690.
-
(1999)
Nucleic Acids Research
, vol.27
, Issue.13
, pp. 2682-2690
-
-
Thompson, J.1
Plewniak, F.2
Poch, O.3
-
20
-
-
0037339975
-
Synthesizing high-frequency rules from different data sources
-
Wu, X. and Zhang, S. 2003. Synthesizing high-frequency rules from different data sources. IEEE Trans. Knowledge Data Engineering, 15(2): 353-367.
-
(2003)
IEEE Trans. Knowledge Data Engineering
, vol.15
, Issue.2
, pp. 353-367
-
-
Wu, X.1
Zhang, S.2
-
21
-
-
4644356822
-
Database classification for multi-database mining
-
Wu, X., Zhang, C., and Zhang, S. 2005, Database classification for multi-database mining. Information System, 30(1): 71-88.
-
(2005)
Information System
, vol.30
, Issue.1
, pp. 71-88
-
-
Wu, X.1
Zhang, C.2
Zhang, S.3
-
22
-
-
4444326044
-
CloSpan: Mining closed sequential patterns in larege datasets
-
San Fransico, CA
-
Yan, X., Han, J., and Afshar, R. 2003. CloSpan: Mining closed sequential patterns in larege datasets. In Third SIAM International Conference on Data Mining (SDM), San Fransico, CA, pp. 166-177.
-
(2003)
Third SIAM International Conference on Data Mining (SDM)
, pp. 166-177
-
-
Yan, X.1
Han, J.2
Afshar, R.3
-
23
-
-
0036373130
-
Mining long sequential patterns in a noisy environment
-
Madison, WI
-
Yang, J., Yu, P.S., Wang, W., and Han, J. 2002. Mining long sequential patterns in a noisy environment. In Proc. of ACM Int'l Conf. On Management of Data (SIGMOD), Madison, WI, pp. 406-117.
-
(2002)
Proc. of ACM Int'l Conf. on Management of Data (SIGMOD)
, pp. 406-1117
-
-
Yang, J.1
Yu, P.S.2
Wang, W.3
Han, J.4
-
25
-
-
33646577936
-
Identifying global exceptional patterns in multi-database mining
-
Zhang, C., Liu, M., Nie, W., and Zhang, S. 2004a. Identifying global exceptional patterns in multi-database mining. IEEE Computational Intelligence Bulletin, 3(1): 19-24.
-
(2004)
IEEE Computational Intelligence Bulletin
, vol.3
, Issue.1
, pp. 19-24
-
-
Zhang, C.1
Liu, M.2
Nie, W.3
Zhang, S.4
-
26
-
-
4644316998
-
Multi-database mining
-
Zhang, S., Wu, X., and Zhang, C. 2003. Multi-Database Mining. IEEE Computational Intelligence Bulletin, 2(1): 5-13.
-
(2003)
IEEE Computational Intelligence Bulletin
, vol.2
, Issue.1
, pp. 5-13
-
-
Zhang, S.1
Wu, X.2
Zhang, C.3
-
27
-
-
4243088121
-
An efficient strategy for mining exceptions in multi-databases
-
Zhang, S., Zhang, C., and Yu, J.X. 2004b. An efficient strategy for mining exceptions in multi-databases. Information System, 165(1-2): 1-20.
-
(2004)
Information System
, vol.165
, Issue.1-2
, pp. 1-20
-
-
Zhang, S.1
Zhang, C.2
Yu, J.X.3
-
28
-
-
84956856835
-
Peculiarity oriented multi-database mining
-
Zhong, N., Yao, Y., and Ohsuga, S. 1999. Peculiarity oriented multi-database mining. In Proceedings of PKDD, pp. 136-146.
-
(1999)
Proceedings of PKDD
, pp. 136-146
-
-
Zhong, N.1
Yao, Y.2
Ohsuga, S.3
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