关联规则算法在智能问答系统信息处理优化中的应用

Yunjuan Liang, Dechuan Kong, Z. Lijun, Liqiang Yin
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引用次数: 1

摘要

本文将关联规则挖掘方法应用到智能问答系统中,挖掘出用户在浏览结果过程中对结果进行排序的潜在规则,生成规则库并对信息的处理进行优化。给出了关联规则挖掘的步骤。通过对资源的预挖掘和关联规则挖掘的分析,重点研究了关联布尔Apriori算法的改进及其在事务数据库中的应用。最后给出了从频繁项集中提取强关联规则的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Association Rules Algorithm in the Optimization of Information Processing in Intelligent Question-Answering System
This paper applied association rule mining method in the intelligent question-answering system, dug out the potential rules which user uses to sort the results in the process of browsing the results, and then generated the rule base and optimized the processing of information. Present the steps of mining association rules. Through pre-mining resources and analysis of mining association rules, focus on the improvement of associated Boolean Apriori algorithm and application in the transaction database. Finally, get the algorithm for the strong association rules extracted from the frequent itemsets.
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