-
1
-
-
0002028980
-
An Efficient Algorithm to Update Large Itemsets with Early Pruning
-
San Diego, CA, USA, August ACM
-
N. F. Ayan, A. U. Tansel, and E. Arkun. An Efficient Algorithm To Update Large Itemsets With Early Pruning. In Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 287-291, San Diego, CA, USA, August 1999. ACM.
-
(1999)
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 287-291
-
-
Ayan, N.F.1
Tansel, A.U.2
Arkun, E.3
-
3
-
-
23144437564
-
Monitoring the Results of the KDD Process: An Overview of Pattern Evolution
-
J. Meij, editor, chapter 6. STT Netherlands Study Center for Technology Trends, The Hague, Netherlands, Apr.
-
S. Baron and M. Spiliopoulou. Monitoring the Results of the KDD Process: An Overview of Pattern Evolution. In J. Meij, editor, Dealing with the data flood: mining data, text and multimedia, chapter 6. STT Netherlands Study Center for Technology Trends, The Hague, Netherlands, Apr. 2002.
-
(2002)
Dealing with the Data Flood: Mining Data, Text and Multimedia
-
-
Baron, S.1
Spiliopoulou, M.2
-
5
-
-
78149338936
-
Analyzing the interestingness of association rules from the temporal dimension
-
Silicon Valley, USA, November
-
Y. M. Bing Liu and R. Lee. Analyzing the interestingness of association rules from the temporal dimension. In IEEE International Conference on Data Mining (ICDM-2001), pages 377-384, Silicon Valley, USA, November 2001.
-
(2001)
IEEE International Conference on Data Mining (ICDM-2001)
, pp. 377-384
-
-
Bing Liu, Y.M.1
Lee, R.2
-
6
-
-
0002758989
-
Mining Surprising Patterns Using Temporal Description Length
-
A. Gupta, O. Shmueli, and J. Widom, editors, New York City, NY, Aug. Morgan Kaufmann
-
S. Chakrabarti, S. Sarawagi, and B. Dom. Mining Surprising Patterns Using Temporal Description Length. In A. Gupta, O. Shmueli, and J. Widom, editors, VLDB'98, pages 606-617, New York City, NY, Aug. 1998. Morgan Kaufmann.
-
(1998)
VLDB'98
, pp. 606-617
-
-
Chakrabarti, S.1
Sarawagi, S.2
Dom, B.3
-
7
-
-
84956869225
-
Mining Temporal Features in Association Rules
-
Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery, Prague, Czech Republic, September Springer
-
X. Chen and I. Petrounias. Mining Temporal Features in Association Rules. In Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science, pages 295-300, Prague, Czech Republic, September 1999. Springer.
-
(1999)
Lecture Notes in Computer Science
, pp. 295-300
-
-
Chen, X.1
Petrounias, I.2
-
8
-
-
0001666210
-
A General Incremental Technique for Maintaining Discovered Association Rules
-
Melbourne, Australia, Apr.
-
D. W. Cheung, S. Lee, and B. Kao. A General Incremental Technique for Maintaining Discovered Association Rules. In DASFAA'97, Melbourne, Australia, Apr. 1997.
-
(1997)
DASFAA'97
-
-
Cheung, D.W.1
Lee, S.2
Kao, B.3
-
9
-
-
0001899154
-
Incremental Clustering for Mining in a Data Warehousing Environment
-
New York City, New York, USA, August Morgan Kaufmann
-
M. Ester, H.-P. Kriegel, J. Sander, M. Wimmer, and X. Xu. Incremental Clustering for Mining in a Data Warehousing Environment. In Proceedings of the 24th International Conference on Very Large Data Bases, pages 323-333, New York City, New York, USA, August 1998. Morgan Kaufmann.
-
(1998)
Proceedings of the 24th International Conference on Very Large Data Bases
, pp. 323-333
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Wimmer, M.4
Xu, X.5
-
10
-
-
0032688730
-
A Framework for Measuring Changes in Data Characteristics
-
Philadelphia, Pennsylvania, May ACM Press
-
V. Ganti, J. Gehrke, and R. Ramakrishnan. A Framework for Measuring Changes in Data Characteristics. In Proceedings of the Eighteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, pages 126-137, Philadelphia, Pennsylvania, May 1999. ACM Press.
-
(1999)
Proceedings of the Eighteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
, pp. 126-137
-
-
Ganti, V.1
Gehrke, J.2
Ramakrishnan, R.3
-
11
-
-
0033907355
-
DEMON: Mining and Monitoring Evolving Data
-
San Diego, California, USA, February IEEE Computer Society
-
V. Ganti, J. Gehrke, and R. Ramakrishnan. DEMON: Mining and Monitoring Evolving Data. In Proceedings of the 15th International Conference on Data Engineering, pages 439-448, San Diego, California, USA, February 2000. IEEE Computer Society.
-
(2000)
Proceedings of the 15th International Conference on Data Engineering
, pp. 439-448
-
-
Ganti, V.1
Gehrke, J.2
Ramakrishnan, R.3
-
12
-
-
84945282198
-
Pruning redundant association rules using maximum entropy principle
-
Taipei, Taiwan, May
-
S. Jaroszewicz and D. A. Simovici. Pruning redundant association rules using maximum entropy principle. In Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135-147, Taipei, Taiwan, May 2002.
-
(2002)
Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02
, pp. 135-147
-
-
Jaroszewicz, S.1
Simovici, D.A.2
-
13
-
-
0035789625
-
Discovering the set of fundamental rule changes
-
San Francisco, USA, August
-
B. Liu, W. Hsu, and Y. Ma. Discovering the set of fundamental rule changes. In 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), pages 335-340, San Francisco, USA, August 2001.
-
(2001)
7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001)
, pp. 335-340
-
-
Liu, B.1
Hsu, W.2
Ma, Y.3
-
15
-
-
85049125672
-
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
-
Newport Beach, California, USA, Aug.
-
S. Thomas, S. Bodagala, K. Alsabti, and S. Ranka. An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases. In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD-97), pages 263-266, Newport Beach, California, USA, Aug. 1997.
-
(1997)
Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining (KDD-97)
, pp. 263-266
-
-
Thomas, S.1
Bodagala, S.2
Alsabti, K.3
Ranka, S.4
-
16
-
-
0031188758
-
Discovering Patterns from Large and Dynamic Sequential Data
-
K. Wang. Discovering Patterns from Large and Dynamic Sequential Data. Intelligent Information Systems, 9:8-33, 1997.
-
(1997)
Intelligent Information Systems
, vol.9
, pp. 8-33
-
-
Wang, K.1
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