Maintaining Database Consistency in the Presence of Schema Evolution

Liu, Ling

doi:10.1007/978-0-387-34913-8_24

Database Applications Semantics

1997

DOI: 10.1007/978-0-387-34913-8_24

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Maintaining Database Consistency in the Presence of Schema Evolution

Ling Liu

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An object-oriented approach to multi-level association rule mining

Fortin

Liu

1996

Proceedings of the Fifth International Conference on Information and Knowledge Management - CIKM '96

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Previous studies in data mining have yielded efficient algorithms for discovering association rules. To increase the expressiveness and relevance of the discovered rules, researche~s typically augment the thresholds with domain-specific knowledge. Most existing proposals use the relational approach to organize and maintain these multi-level concept hierarchies. We argue that an object-oriented approach is better suited for focusing the search and regulating the mining of association rules both at multi-levels within one concept hierarchy, and across multiple concept hierarchies. We propose an adaptive encodhtg scheme for focusing the mining on semantically deeper and more informative knowledge.We demonstrate that the application of an object-oriented approach provides us with the benefits of a flexible combination of multiple multi-level concept hierarchies for focusing the mining on more informative and refined knowledge, and also allows us to enjoy seamless integration of multi-level concept hierarchies with legacy databases. In addition, by using an adaptive encoding scheme, efficient algorithms developed for discovering association rules can be integrated into the object-oriented framework with no or little extm cost.

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An object-oriented approach to multi-level association rule mining

Fortin

Liu

1996

Proceedings of the Fifth International Conference on Information and Knowledge Management - CIKM '96

Self Cite

View full text Add to dashboard Cite

show abstract

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Maintaining Database Consistency in the Presence of Schema Evolution

Cited by 1 publication

References 4 publications

An object-oriented approach to multi-level association rule mining

An object-oriented approach to multi-level association rule mining

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