计算机与现代化 ›› 2012, Vol. 1 ›› Issue (1): 37-39.doi: 10.3969/j.issn.1006-2475.2012.01.010

• 人工智能 • 上一篇    下一篇

基于遗传算法的数据挖掘技术在图书馆中的应用研究

陈东莉   

  1. 中国石油抚顺石化公司石油二厂科技信息部,辽宁 抚顺 113004
  • 收稿日期:2011-07-18 修回日期:1900-01-01 出版日期:2012-01-10 发布日期:2012-01-10

Research on Application of Data Mining Based on Genetic Algorithm in Library

CHEN Dong-li   

  1. Science & Technology Department, PetroChina Fushun PetroChemical Company Refinery NO.2, Fushun 113004, China
  • Received:2011-07-18 Revised:1900-01-01 Online:2012-01-10 Published:2012-01-10

摘要: 图书馆作为信息的传统提供者,在长期的服务过程中积累了丰富的数据信息资源。将先进的数据挖掘技术引入图书馆行业,可以从现有数据资源中发掘有价值的信息,从而更好地优化馆藏、满足读者的需求和为图书管理人员提供决策支持。本文首先介绍数据挖掘和关联规则挖掘的概念,接着将遗传算法应用于关联规则挖掘中,最后通过实例挖掘图书馆读者和图书之间的关联规则。

关键词: 遗传算法, 数据挖掘, 图书馆

Abstract: As traditional information provider, the library accumulates lots of information resources in the long-term service process. Inducting data mining can mine valuable information from existing data resources, to optimize the storage of library, to meet the demand of readers and to provide decision support better for the books management personnel. The paper firstly introduces the concept of data mining and association rule mining, then applies genetic algorithm to association rule mining, finally mines some association rules about library readers and books.

Key words: genetic algorithm, data mining, library

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