CAJ | 학술논문

聚类是Web数据管理领域的一个具有挑战性的课题。各种形式的聚类要求在大范围内得到应用，包括找到镜像网页，探测侵权行为，并以结构化方式展示搜索的结果。概述了实现聚类在WEB用户和WEB资源得以应用的最流行的方法，并提出了当前的应用状态和WEB领域将来的发展前景。
취류시Web수거관리영역적일개구유도전성적과제。각충형식적취류요구재대범위내득도응용，포괄조도경상망혈，탐측침권행위，병이결구화방식전시수색적결과。개술료실현취류재WEB용호화WEB자원득이응용적최류행적방법，병제출료당전적응용상태화WEB영역장래적발전전경。
Clustering is a challenging topic in the area of Web data management. Various forms of clustering are required in a wide range of applications, including finding mirrored Web pages, detecting copyright violations, and reporting search results in a structured way. This paper presents an overview of the most popular methodologies and implementations in terms of clustering either Web users or Web sources and presents a survey about current status and future trends in clustering employed over the Web.