Y
Yu Wu
Researcher at Chongqing University of Posts and Telecommunications
Publications - 26
Citations - 407
Yu Wu is an academic researcher from Chongqing University of Posts and Telecommunications. The author has contributed to research in topics: Rough set & Intrusion detection system. The author has an hindex of 10, co-authored 26 publications receiving 397 citations. Previous affiliations of Yu Wu include Chongqing University.
Papers
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Journal Article
A Comparative Study of Algebra Viewpoint and Information Viewpoint in Attribute Reduction
TL;DR: A comparative study on the quantitative relationship between some basic concepts of rough set theory like attribute reduction, attribute significance and core defined from these two viewpoints shows that the relationship between these conceptions from the two viewpoints is rather an inclusion than an equivalence.
Book ChapterDOI
Incremental attribute reduction based on elementary sets
TL;DR: An incremental attribute reduction algorithm is proposed that when new objects are added into a decision information system, a new attribute reduction can be got by this method quickly.
Proceedings ArticleDOI
Theoretical study on attribute reduction of rough set theory: comparison of algebra and information views
TL;DR: The results show that the relation between those corresponding conceptions in algebra view and information view is typically inclusion rather than equivalence, and its reason is that information view restricts attributes and systems more specifically than algebra view.
Proceedings ArticleDOI
New anti-spam filter based on data mining and analysis of email security
TL;DR: By mining email headers, this paper can find potential security problems of some email systems and cheating methods of Spam senders, and obtain some useful anti-Spam knowledge from all the email headers.
Proceedings ArticleDOI
A rule generation algorithm based on granular computing
TL;DR: In this paper, a rule generation algorithm based on granular computing (RGAGC) is developed and the "false preserving" property of quotient space theory is used as a strategy to control the process of rule granule generation, so that RGAGC could generate rule granules from the granule space quickly.