计算机工程与应用2018，Vol.54Issue(7)：11-19,65,10.DOI:10.3778/j.issn.1002-8331.1711-0443
面向实体解析的无监督聚类方法综述
Survey of unsupervised clustering approach oriented to entity resolution
摘要
Abstract
The aim is to analyze the mechanism of Entity Resolution(ER)from unsupervised clustering.This paper firstly elaborates the unsupervised clustering ideas from specific types,classical algorithms;then,it studies the unsupervised incremental clustering method from the classical algorithm improvements and evolution analyses.Finally,the problems to be solved in unsupervised clustering are prospected.Unsupervised clustering technology not only can solve the clustering efficiency and quality problems of traditional entity resolution,but also can use existing clustering results to implement incremental entity resolution for rapidly evolving data,to further meet the needs for incremental incremental entity resolu-tion under the big data environment.There is no in-depth analysis of the evaluation index of unsupervised clustering algo-rithm.Although the unsupervised clustering method for entity analysis has many advantages,it still faces the challenges of accuracy and scalability.关键词
实体解析/无监督聚类/无监督增量聚类Key words
Entity Resolution(ER)/unsupervised clustering/unsupervised incremental clustering分类
信息技术与安全科学引用本文复制引用
高广尚..面向实体解析的无监督聚类方法综述[J].计算机工程与应用,2018,54(7):11-19,65,10.基金项目
国家自然科学基金(No.71761008) （No.71761008）
广西高校人文社会科学重点研究基地基金(No.16YB010). （No.16YB010）
