基于关联规则增量算法的Web用户兴趣模型研究
association rules on the model of web user interest
本文采用一种基于映射的，主动随着事务模式的增加而进行挖掘的关联规则增量挖掘算法，该算法在事务数据库中的所有事务模式加载完毕的同时，就能够得出挖掘的结果。该算法对数据集和支持度的变化具有自然的适应性，并将其应用到Web用户的兴趣模型中，保证了所创建的用户兴趣模型的准确性。
his paper, a map-based initiative with the increase in transaction mode for incremental mining of association rules mining algorithm in the transaction database of all transaction mode is loaded. at the same time, we can come to the result of mining. The algorithm for data sets and support has a natural adaptive changes, and its application to the Web user's interest model, created to ensure the accuracy of user interest model.
侯博、何丽丽、孙艳敏
计算技术、计算机技术
用户兴趣模型数据挖掘增量更新关联规则算法
user interest modeldata miningIncrementalAssociation Rules
侯博,何丽丽,孙艳敏.基于关联规则增量算法的Web用户兴趣模型研究[EB/OL].(2011-04-14)[2025-08-17].http://www.paper.edu.cn/releasepaper/content/201104-323.点此复制
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