基于知识依赖度约简数据挖掘的个性化服务研究  

Research on the personalized service based on data mining method of knowledge dependency reduction

作　　者：李化明[1] 王家云[1] 马利华[1] 

机构地区：[1]淮北师范大学,235000

出　　处：《大学图书情报学刊》2015年第1期90-94,共5页Journal of Academic Library and Information Science

基　　金：安徽省高等学校图书情报工作委员会2013年度研究基金项目(TGW13B08)

摘　　要：粗糙集理论中的属性约简问题属于NP难问题,文章以淮北师范大学教育技术学专业读者在2013学年度的图书借阅历史数据为研究对象,采用借阅类目的次数多少作为属性重要度进行启发式选择,利用粗糙集理论中的知识依赖度对类目约简,挖掘出该专业各年级和该专业借阅类目的核心集。经问卷调查证明其规律的正确性,据此结论进行个性化推送服务具有很强的针对性和很高的命中率。books borrowed Huaibei Normal on the frequenc The attribute of reduction in rough set theory is a NP hard problem. By taking the original data of and read in the academic year of 2013 by the readers majoring in educational technology in Univers y of the theory, and mine out th ity as the prototype, the authors use a heuristic algorithm of the attribute importance based borrowed category, reduce the categories with the knowledge dependency in rough set e core sets of the borrowed category by the students in all grades of the majors. The results reflected in the questionnaires have proved the correctness of the law discovered in the investigation, and the pushing service carried out by the library has a high percentage of hits

关 键 词：粗糙集 个性化服务 知识依赖度 知识约简 数据挖掘 

分 类 号：G252[文化科学—图书馆学]