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中文摘要：
企业在商业运营中积聚了大量的数据,如何从大量的数据中找出有价值的信息,帮助企业分析产品市场走向并提供更好的商务决策是目前数据挖掘领域研究的热点.以Apriori算法为主,介绍了基于模式与规则寻找的数据挖掘技术中的模式与规则寻找方法、关联模式评估方法等,为企业数据挖掘系统的研究与设计提供有益的帮助.
英文摘要：
Enterprises accumulated a great amount of data in business, from which product market orientation as well as other valuable information is analyzed, which used to support decisions in business. Therefore, those data become a sort of wealth. However, the amount of data is increasing day by day with the changing implied rule, thus it becomes an urgent problem how to efficiently mine model and rule, and continuously renew the efficiency of algorithm. Data mining, analysis of the implied information in the data, which has a bright prospect of application, provides an efficient data processing method to automatically extract knowledge. The paper, focused on the basic algorithm of the searching of association rules-- Apriori algorithm, introduces how to search for pattern and rule.
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