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Titlebook: Web Information Systems and Mining; International Confer Zhiguo Gong,Xiangfeng Luo,Fu Lee Wang Conference proceedings 2011 Springer-Verlag

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书目名称Web Information Systems and Mining
副标题International Confer
编辑Zhiguo Gong,Xiangfeng Luo,Fu Lee Wang
视频video
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web Information Systems and Mining; International Confer Zhiguo Gong,Xiangfeng Luo,Fu Lee Wang Conference proceedings 2011 Springer-Verlag
描述The two-volume set LNCS 6987 and 6988 constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2011, held in Taiyuan, China, in September 2011. The 112 revised full papers presented were carefully reviewed and selected from 472 submissions. The second volume includes 56 papers organized in the following topical sections: management information systems; semantic Web and ontologies; Web content mining; Web information classification; Web information extraction; Web intelligence; Web interfaces and applications; Web services and e-learning; and XML and semi-structured data.
出版日期Conference proceedings 2011
关键词association rule mining; distributed computing; elliptic curve cryptography; genetic algorithm; semantic
版次1
doihttps://doi.org/10.1007/978-3-642-23982-3
isbn_softcover978-3-642-23981-6
isbn_ebook978-3-642-23982-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

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A Comprehensive Reputation Computation Model Based on Fuzzy Regression Method of Cross-Domain Usersefficients. In order to build up fuzzy regression model, the comprehensive reputation is hazed with symmetric triangular fuzzy number to determine fuzzy coefficients, and to calculate out the result. The experiment results show that the model reflects the flexible range objectively.
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CuttingPlane: An Efficient Algorithm for Three-Dimensional Spatial Skyline Queries Based on Dynamic orem, we propose a more efficient algorithm-dynamic cutting plane scan queries for skyline queries, and analyze and verify the feasibility, efficiency and veracity of the algorithm through instance and experiment.
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Redundant Feature Elimination by Using Approximate Markov Blanket Based on Discriminative Contributiinative Contribution (DISC) to eliminate redundant features and propose the AMB-DISC algorithm. Experimental results on the data set of Reuter-21578 show AMB-DISC is much better than the previous state-of-arts feature selection algorithms considering feature redundancy in terms of Micro.F1 and Macro.F1.
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