关键词: 关联规则 数字图书馆 个性化服务 Apriori算法 事务压缩 项目压缩

Abstract:

This paper proposes an enhanced algorithm which associates the Apriori algorithm with the transaction reduction and item reduction techniques.The cand idate set generation and the support calculation of each itemset is created after each transaction is compressed and connected. The candidate set adopts   the key word identification.The process of pruning and string pattern matching is removed from the Apriori algorithm,and it is especially suitable for   the personal services of large digital libraries to gain personal information requirements.

Key words: association rule;digital library;personal service;Apriori algorithm;transaction reduction ;item reduction