-
1
-
-
0346087182
-
The quest data mining system
-
Portland, OR
-
R. Agrawal, M. Mehta, J. Shafer, R. Srikant, A. Arning and T. Bollinger, The quest data mining system, in Proc. 2nd Int. Conf. Knowledge Discovery and Data mining, 1996, Portland, OR,.
-
(1996)
Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining
-
-
Agrawal, R.1
Mehta, M.2
Shafer, J.3
Srikant, R.4
Arning, A.5
Bollinger, T.6
-
5
-
-
2942667146
-
Sequence alignment using FastLSA
-
June Las Vegas, Nevada
-
K. Charter, J. Schaeffer and D. Szafron, Sequence alignment using FastLSA, in Proc. 2000 Int. Conf. Math. Eng. Tech. in Medicine and Biological Sei., June 2000, Las Vegas, Nevada, pp. 239-245.
-
(2000)
Proc. 2000 Int. Conf. Math. Eng. Tech. in Medicine and Biological Sei.
, pp. 239-245
-
-
Charter, K.1
Schaeffer, J.2
Szafron, D.3
-
6
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
Portland, OR
-
M. Ester, H.-P. Kriegel, J. Sander and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, in Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining, 1996, Portland, OR., pp. 226-231.
-
(1996)
Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
8
-
-
1542347443
-
Clustering of web users based on access patterns
-
San Diego, CA
-
Y. Fu, K. Sandhu and M. Y. Shih, Clustering of web users based on access patterns, in Proc. 1999 KDD Workshop on Web Mining, 1999, San Diego, CA.
-
(1999)
Proc. 1999 KDD Workshop on Web Mining
-
-
Fu, Y.1
Sandhu, K.2
Shih, M.Y.3
-
9
-
-
0035279319
-
CURE: An efficient clustering algorithm for large databases
-
S. Guha, R.. Rastogi and K. Shim, CURE: An efficient clustering algorithm for large databases, Information Syst. 26(1) (2001) 35-58.
-
(2001)
Information Syst.
, vol.26
, Issue.1
, pp. 35-58
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
10
-
-
0034228041
-
ROCK: A robust clustering algorithm for categorical attributes
-
S. Guha, R,. Rastogi and K. Shim, ROCK: A robust clustering algorithm for categorical attributes, Information Syst. 25(5) (2000) 345-366.
-
(2000)
Information Syst.
, vol.25
, Issue.5
, pp. 345-366
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
11
-
-
0004137004
-
-
Press Syndicate of the University of Cambridge, New York
-
D. Gusfield, Algorithm on Strings, Trees, and Sequences, (Press Syndicate of the University of Cambridge, New York, 1997).
-
(1997)
Algorithm on Strings, Trees, and Sequences
-
-
Gusfield, D.1
-
13
-
-
0010415411
-
Spatial clustering methods in data mining: A survey
-
eds. H. J. Miller and J. Han (Taylor and Francis, New York)
-
J. Han, M. Kamber and A. K. H. Tung, Spatial clustering methods in data mining: A survey, in Geographic Data Mining and Knowledge Discovery, eds. H. J. Miller and J. Han (Taylor and Francis, New York, 2001).
-
(2001)
Geographic Data Mining and Knowledge Discovery
-
-
Han, J.1
Kamber, M.2
Tung, A.K.H.3
-
17
-
-
8444235793
-
Universal formulation of sequential patterns
-
University of Minnesota, Department of Computer Science
-
M. Joshi, G. Karypis and V. Kumar, Universal formulation of sequential patterns, Technical Report TR, 99-021, University of Minnesota, Department of Computer Science (1999).
-
(1999)
Technical Report
, vol.TR 99-021
-
-
Joshi, M.1
Karypis, G.2
Kumar, V.3
-
19
-
-
0001781295
-
Web mining research: A survey
-
R,. Kosals and H. Blockeel, Web mining research: A survey, ACM SIGKDD 2(1) (2000) 1-15.
-
(2000)
ACM SIGKDD
, vol.2
, Issue.1
, pp. 1-15
-
-
Kosals, R.1
Blockeel, H.2
-
20
-
-
0036117227
-
Discovery of aggregate usage profiles for web personalization
-
B. Mobasher, H. Dai, T. Luo, M. Nakagawa, Y. Sun and J. Wiltshire, Discovery of aggregate usage profiles for web personalization, Data Mining and Knowledge Discovery 6 (2002) 61-82.
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 61-82
-
-
Mobasher, B.1
Dai, H.2
Luo, T.3
Nakagawa, M.4
Sun, Y.5
Wiltshire, J.6
-
21
-
-
1642478709
-
-
PhD thesis, University of Helsinki, Department of Computer Science
-
P. Moen, Attribute, event sequence, and event type similarity notions for data mining, PhD thesis, University of Helsinki, Department of Computer Science (2000).
-
(2000)
Attribute, Event Sequence, and Event Type Similarity Notions for Data Mining
-
-
Moen, P.1
-
22
-
-
0344343563
-
Scalable hierarchical clustering method for sequences of categorical values
-
Kowloon, Hong Kong
-
T. Morzy, M. Wojciechowski and M. Zakrzewicz, Scalable hierarchical clustering method for sequences of categorical values, in Proc. 5th Pacific-Asia Conf. Knowledge Discovery and Data Mining, 2000, Kowloon, Hong Kong.
-
(2000)
Proc. 5th Pacific-Asia Conf. Knowledge Discovery and Data Mining
-
-
Morzy, T.1
Wojciechowski, M.2
Zakrzewicz, M.3
-
23
-
-
0003136237
-
Efficient and effective clustering method for spatial data mining
-
R. T. Ng and J. Han, Efficient and effective clustering method for spatial data mining, in Proc. 20th VLDB Conf. (1994), pp. 144-155.
-
(1994)
Proc. 20th VLDB Conf.
, pp. 144-155
-
-
Ng, R.T.1
Han, J.2
-
24
-
-
34250725830
-
Towards adaptive web sites: Conceptual framework and case study
-
Canada
-
M. Perkowitz and O. Etzioni, Towards adaptive web sites: Conceptual framework and case study, in Proc. 8th Int. WWW Conf., 1999, Canada.
-
(1999)
Proc. 8th Int. WWW Conf.
-
-
Perkowitz, M.1
Etzioni, O.2
-
25
-
-
0037375280
-
Automatic discovery of similarity relationships through web mining
-
D. Roussinov and J. L. Zhao, Automatic discovery of similarity relationships through web mining, Decision Support Syst. 35(1) (2003).
-
(2003)
Decision Support Syst.
, vol.35
, Issue.1
-
-
Roussinov, D.1
Zhao, J.L.2
-
28
-
-
0030157145
-
BIRCH: An efficient data clustering method for very large databases
-
Canada
-
T. Zhang, R. Ramakrishnan and M. Livny, BIRCH: An efficient data clustering method for very large databases, ACM SIGMOD, Canada (1996) 103-114.
-
(1996)
ACM SIGMOD
, pp. 103-114
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
-
29
-
-
33746208320
-
Comparison of agglomerative and partitional document clustering algorithms
-
Arlington, VA
-
Y. Zho and G. Karypis, Comparison of agglomerative and partitional document clustering algorithms, 2nd SIAM Int. Conf. Data Mining, 2002, Arlington, VA.
-
(2002)
2nd SIAM Int. Conf. Data Mining
-
-
Zho, Y.1
Karypis, G.2
|