基于数据挖掘的高校图书馆图书采购计划辅助决策研究  

Research on Assistant Decision-making in Formulating University Library Book Purchasing Plan Based on Data Mining

作　　者：迟春佳[1] 毛志勇[2] 

机构地区：[1]辽宁工程技术大学图书馆,辽宁葫芦岛125105 [2]辽宁工程技术大学工商管理学院,辽宁葫芦岛125105

出　　处：《现代情报》2009年第7期108-110,共3页Journal of Modern Information

基　　金：国家自然科学基金(编号:70572070)的资助

摘　　要：针对如何科学制订高校图书馆图书采购计划以提高图书采购质量和效率的问题,分析了传统图书采购计划制订方法的不足,阐述了数据挖掘技术的内涵,提出了将数据挖掘技术用于高校图书馆图书采购计划制订辅助决策的方法,探讨了该方法的可行性,并详细给出了数据挖掘技术应用于制订高校图书馆图书采购计划的过程。To improve the book quality and increase the labor efficiency, the data mining technology has been introduced into book purchasing system to formulate a reasonable purchasing plan. After the deficiency analysis of the traditional book purchasing system and thorough investigating of the data mining technology, a new method of drawing up book purchasing plan based on the data mining technology has been brought forward. A detailed procedure of formulating a purchasing plan using this method has been introduced and the method has been proved to be helpful.

关 键 词：数据挖掘 图书采购 高校图书馆 

分 类 号：G250[文化科学—图书馆学]