NDLI: An efficient algorithm for fuzzy Web-mining

Content Provider	IEEE Xplore Digital Library
Author	Rui Wu Wansheng Tang Ruiqing Zhao
Copyright Year	2004
Description	Author affiliation: Inst. of Syst. Eng., Tianjin Univ., China (Rui Wu; Wansheng Tang; Ruiqing Zhao)
Abstract	In this paper, Web mining in a fuzzy environment is devoted. Browsing time staying on a Web page is considered and characterized as a fuzzy variable. Thus, the frequent preferred paths with fuzzy expected values can be gained. With the comparison of the fuzzy expected values, the measure of the interest of people for different Web pages is clear. In order to find more completely frequent fuzzy preferred paths, an efficient algorithm based on the frequent link and access tree(FLAAT) is designed, in which the access tree is traversed using a top-down strategy, and to avoid the loss of useful information, the frequent link is searched to find such nodes that may be neglected, and then the access tree is searched again to find other frequent preferred paths. The gained frequent preferred paths with fuzzy expected values more completely disclose the interest of users. Finally, an example is provided to clearly illustrate the proposed approach. And the results show that our algorithm achieves significant performance improvement over previous work.
Starting Page	576
Ending Page	581
File Size	462561
Page Count	6
File Format	PDF
ISBN	0780388194
DOI	10.1109/IRI.2004.1431523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Web pages Algorithm design and analysis World Wide Web Web server Data mining Tree data structures Uniform resource locators Systems engineering and theory Mathematics
Content Type	Text
Resource Type	Article

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