Maintenance of Frequent Patterns: A Survey
Document Type
Book Chapter
Publication Date
2009
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Abstract
This chapter surveys the maintenance of frequent patterns in transaction datasets. It is written to be accessible to researchers familiar with the field of frequent pattern mining. The frequent pattern maintenance problem is summarized with a study on how the space of frequent patterns evolves in response to data updates. This chapter focuses on incremental and decremental maintenance. Four major types of maintenance algorithms are studied: Apriori-based, partition-based, prefix-tree-based, and concise-representation-based algorithms. The authors study the advantages and limitations of these algorithms from both the theoretical and experimental perspectives. Possible solutions to certain limitations are also proposed. In addition, some potential research opportunities and emerging trends in frequent pat-tern maintenance are also discussed.
Repository Citation
Feng, M.,
Li, J.,
Dong, G.,
& Wong, L.
(2009). Maintenance of Frequent Patterns: A Survey. Post-mining of Association Rules: Techniques for Effective Knowledge Extraction, 275-295.
https://corescholar.libraries.wright.edu/knoesis/138
