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基于关联规则的图书馆图书智能查找算法研究
引用本文:林和平,刘辉,郭思佳,沙天泽. 基于关联规则的图书馆图书智能查找算法研究[J]. 黑龙江电子技术, 2013, 0(12): 131-133,137
作者姓名:林和平  刘辉  郭思佳  沙天泽
作者单位:[1]东北师范大学计算机科学与信息技术学院,长春130117 [2]东北师范大学城市与环境科学学院,长春130117
摘    要:随着计算机技术的发展和普及,高校图书馆的管理已经进入到自动化时代.为了有效利用图书馆产生的大量图书流通数据,从而预测分析读者的个性化需求,基于关联规则的图书馆智能推荐平台亟待开发.文中提出完备的自定义的频繁项目集,定义了高效的关联规则算法,该算法解决了上述问题,可以让使用者快速地获取到有效信息.

关 键 词:数据挖掘  关联规则  频繁项目集

Library book intelligent seeking algorithm based on association rules
LIN He-ping,LIU Hui,GUO Si-jia,SHA Tian-ze. Library book intelligent seeking algorithm based on association rules[J]. , 2013, 0(12): 131-133,137
Authors:LIN He-ping  LIU Hui  GUO Si-jia  SHA Tian-ze
Affiliation:1. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China; 2. School of City and Environment Science,Northeast Normal University, Changchun 130117, China)
Abstract:With the development and the popularity of computer technology, university library management has entered into the automated age. In order to effectively use a large number of books circulation data produced by the library, predictive analysis to the reader' s individual needs, the library intelligent recommendation platform urgently needs to develop based on association rules. This paper presents a complete self-defined frequent item sets, defines the efficient association rules algorithm, this algorithm solves the above problem and allows the users to quickly obtain valid information.
Keywords:data mining  association rules  frequent item sets
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