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Mining the Web by a Potential Hub-and-Authority First Approach

  • Conference paper
Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Summary

A novel approach for collecting topic relevant web pages called the potential hub and authority first (PHA-first) approach is proposed. We use this approach to collect a base set which is used to calculate the famous hub and authority values defined by the HITS algorithm. In our pilot research, the experiment results show that our PHA-first approach is well performed than the original HITS algorithm in the precision rate. The satisfaction investigation of PHA-first based algorithms is also promising.

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Author information

Authors and Affiliations

  1. Evolutionary Computation Laboratory, Dept. of Management Information Systems, Aletheia University, Taiwan

    Leuo-hong Wang

  2. Evolutionary Computation Laboratory, Graduate School of Management Sciences, Aletheia University, Taiwan

    Tong-wen Lee

Authors
  1. Leuo-hong Wang
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  2. Tong-wen Lee
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, Lh., Lee, Tw. (2005). Mining the Web by a Potential Hub-and-Authority First Approach. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_87

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  • DOI: https://doi.org/10.1007/3-540-32391-0_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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