基于知识发现的读者决策采购研究

A Research of Patron-Driven Acquisition Based on the Knowledge Discovery in Databases

将知识发现应用到读者决策采购流程中,能够使读者决策采购过程更加科学合理,贴近读者需求。文章在对读者决策采购一般流程分析的基础上,探讨了基于知识发现的读者决策采购流程,并应用决策树和关联规则发现的数据挖掘技术,进行了实践探索。

Applying KDD （Knowledge Discovery in Databases） into the process of PDA （Patron-Driven Acquisition） makes PDA more scientific and reasonable and meets the needs of users. After the analysis of the general process of PDA, the paper discusses a KDD-based PDA process, and demonstrates it with the help of a decision tree and data mining technology of association rule.