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Techniques to Improve Multi-Agent Systems for Searching and Mining the Web

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Intelligent Data Mining

Part of the book series: Studies in Computational Intelligence ((SCI,volume 5))

Abstract

Nowadays, an abundant amount of information is created and delivered over electronic media. The information gathering in the Internet is a complex activity and Internet users need tools to assist them to find the information required. Web multi-agent systems assist the users by gathering from the Internet the information that best satisfies their specific needs.

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Authors and Affiliations

  1. Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    E. Herrera-Viedma, C. Porcel, F. Herrera & A.G. Lopez-Herrera

  2. Dept. of Computer Science, University of Jaén, 23071, Jaén, Spain

    L. Martínez

Authors
  1. E. Herrera-Viedma
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  2. C. Porcel
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  3. F. Herrera
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  4. L. Martínez
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  5. A.G. Lopez-Herrera
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Editor information

Da Ruan Guoqing Chen Etienne E. Kerre Geert Wets

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Herrera-Viedma, E., Porcel, C., Herrera, F., Martínez, L., Lopez-Herrera, A. Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. In: Ruan, D., Chen, G., E. Kerre, E., Wets, G. (eds) Intelligent Data Mining. Studies in Computational Intelligence, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11004011_23

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  • DOI: https://doi.org/10.1007/11004011_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26256-5

  • Online ISBN: 978-3-540-32407-2

  • eBook Packages: EngineeringEngineering (R0)

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