Mining dynamic association rules in databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3801 LNAI, Issue , 2005, Pages 688-695

  Liu, Jinfeng ^a   Rong, Gang ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DATABASE SYSTEMS; VECTORS;

MINING PROCESS; SUPPORT VECTOR; TIME INDICATORS;

DATA MINING;

EID: 33646836796     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_102     Document Type: Conference Paper

References (5)

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2. Dong, G., Li, J.: Efficient mining of emerging patterns: Discovering trends and differences. In Proc. of the Fifth Int'l Conference on Knowledge Discovery and Data Mining, (1999) 43-52
3. Au, W.H., Chan, K.C.C.: Fuzzy data mining for discovering changes in association rules over time. In Proc. of 2002 IEEE Int'l Conference on Fuzzy Systems, May (2002) 890-895
4. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In Proc of 20th Int'l Conference on Very Large Data Bases, September (1994) 487-499
5. Han, J., Kamber, M.: Data Mining Concepts and Techniques. Morgan Kaufmann Publishers, San Fransisco, USA, (2000)