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Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Date 10-12 Aug. 2010

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  • [Front and back cover]

    Publication Year: 2010, Page(s):c1 - c4
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  • [Title page]

    Publication Year: 2010, Page(s): i
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  • [Blank page]

    Publication Year: 2010, Page(s): ii
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  • [Title page]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2010, Page(s): iv
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): v
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): vi
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): vii
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): viii
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): ix
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): x
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  • Table of contents: Volume - 6

    Publication Year: 2010, Page(s): xi
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  • Organizing Committee

    Publication Year: 2010, Page(s): xiii
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  • Program Committee

    Publication Year: 2010, Page(s): xiv
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  • Program Committee

    Publication Year: 2010, Page(s): xv
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  • Program Committee

    Publication Year: 2010, Page(s): xvi
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  • Preface

    Publication Year: 2010, Page(s): xii
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  • list-reviewer

    Publication Year: 2010, Page(s): xvii
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  • list-reviewer

    Publication Year: 2010, Page(s): xviii
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  • list-reviewer

    Publication Year: 2010, Page(s): xix
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  • list-reviewer

    Publication Year: 2010, Page(s): xx
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  • Quick tendency forecast on Internet public opinions

    Publication Year: 2010, Page(s):2493 - 2497
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB) | HTML iconHTML

    Internet public opinions receive more and more attention currently as such opinions impact much more on government decision making and the entire social opinion. The accuracy validation and tendency analysis on some critical Internet public opinions become more important for government and social to understand the status accurately. In this paper, a quick tendency forecast method is proposed and i... View full abstract»

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  • Research into the topic's representation in topic tracking

    Publication Year: 2010, Page(s):2498 - 2502
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (157 KB) | HTML iconHTML

    This paper uses Vector Space Model to represent topic, and focuses on the creation of the model. Based on the analysis of the characteristics of the English news stories, the paper proposed two methods to improve the topic's representation. Firstly, we propose a news story-oriented feature extraction algorithm based on the combination of word analysis and the location characteristic of the news st... View full abstract»

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  • Research on Trust Recommender Model based on experts' social networks

    Publication Year: 2010, Page(s):2503 - 2506
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    Trust recommender systems can depend on users' previous opinions and other trustworthy users' opinions on items suggest to them items they will like. However, it is very important to discern and find trustworthy users' opinions. In fact, it is easier for experts to find higher quality Web pages safely in search engines and trustworthy search histories are produced at the same time. Based on this o... View full abstract»

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  • RSS item ranking based on implicit feedback

    Publication Year: 2010, Page(s):2507 - 2512
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (185 KB) | HTML iconHTML

    Really Simple Syndication(RSS) has been widely used in our daily lives, but RSS doesn't always collect interesting articles, user has to sift through every subscription for articles they like. The ranking of unread RSS articles has the potential power to release user from this heavy burden. Although user preferences can be learned from explicit feedbacks such as rating or tagging, implicit feedbac... View full abstract»

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