Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A General Incremental Technique for Maintaining Discovered Association Rules
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
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The paper analyzes some existing incremental mining algorithms for association rule and presents an incremental mining algorithm for association rule fit for Web Usage Mining. Because there are some characteristics of web logs which are dynamic, attributed, smaller and updated frequently, the algorithm uses BORDERS algorithm when mining single log file, and takes advantage of partition algorithm when mining many log files simultaneously.