Mining Generalized Association Rules and Sequential Patterns Using SQL Queries

Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD 1998

Volumn , Issue , 1998, Pages 344-348

  Thomas, Shiby ^a   Sarawagi, Sunita ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA WAREHOUSES; SOLS;

DATABASE TECHNOLOGY; DATABASES INTEGRATIONS; GENERALIZED ASSOCIATION RULES; LARGE DATA; MINING GENERALIZED ASSOCIATION; MINING SYSTEMS; PERFORMANCE; RELATIONAL DATABASE; SEQUENTIAL PATTERNS; SQL QUERY;

ASSOCIATION RULES;

EID: 85079768834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. Chamberlin, D. 1996. Using the New DD2: IBM's Object-Relational Database System. Morgan Kaufmann.
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6. Sarawagi, S.; Thomas, S.; and Agrawal. R. 1998. Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications, In Proc. of the ACM SIC MOD Conference on Management of Data.
7. Srikant, R., and Agrawal, R. 1995. Mining Generalized Association Rules, In Proc. of ike 21st Int'l Conference on Very Large Databases.
8. Srikant R., and Agrawal, R. 1996. Mining Sequential Patterns: Generalizations and Performance Improvements. In Proc. of the Fifth Int'l Conference on Extending Database Technology.