首页    期刊浏览 2024年07月06日 星期六
登录注册

文章基本信息

  • 标题:Clustering Files with Extended File Attributes in Metadata
  • 本地全文:下载
  • 作者:Han, Lin ; Huang, Hao ; Xie, Changsheng
  • 期刊名称:Journal of Multimedia
  • 印刷版ISSN:1796-2048
  • 出版年度:2014
  • 卷号:9
  • 期号:2
  • 页码:278-285
  • DOI:10.4304/jmm.9.2.278-285
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Classification and searching play an important role in modern file systems and file clustering is an effective approach to do this. This paper presents a new labeling system by making use of the Extended File Attributes [1] of file system, and a simple file clustering algorithm based on this labeling system is also introduced. By regarding attributes and attribute-value pairs as labels of files, features of a file can be represented as binary vectors of labels. And some well-known binary vector dissimilarity measures can be performed on this binary vector space, so clustering based on these measures can be done also. This approach is evaluated with several real-life datasets, and results indicate that precise clustering of files is achieved at an acceptable cost
  • 关键词:File Clustering;Extended File Attributes;File System;Binary Vector;Dissimilarity Measure
国家哲学社会科学文献中心版权所有