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Visualization-Based Data Mining Tool and Its Web Application

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Data Mining and Knowledge Management (CASDMKM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3327))

Abstract

The paper is devoted to a visualization-based data mining tool that helps to explore properties of large volumes of data given in the form of relational databases. It is shown how the tool can support the process of exploration of data properties and selecting a small number of preferable items from the database by application a graphic form of goal programming. The graphic Web application server is considered which implements the data mining tool via Internet. Its current and future applications are discussed.

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Author information

Authors and Affiliations

  1. State University - Higher School of Economics, Moscow, Russia, and Russian Academy of Sciences, Dorodnicyn Computing Centre, and Lomonosov Moscow State University, Russia

    Alexander V. Lotov

  2. Department of Systems Analysis, Lomonosov Moscow State University, Russia

    Alexander A. Kistanov & Alexander D. Zaitsev

Authors
  1. Alexander V. Lotov
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  2. Alexander A. Kistanov
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  3. Alexander D. Zaitsev
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Editor information

Editors and Affiliations

  1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100080, China; College of Information Science and Technology, University of Nebraska at Omaha, 68182, Omaha, NE, USA

    Yong Shi

  2. Institute of Policy & Management, Chinese Academy of Sciences, P.O. Box, 100080, Beijing, P.R. China

    Weixuan Xu

  3. College of Information Science and Technology, University of Nebraska at Omaha, 68182, NE, USA

    Zhengxin Chen

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© 2004 Springer-Verlag Berlin Heidelberg

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Lotov, A.V., Kistanov, A.A., Zaitsev, A.D. (2004). Visualization-Based Data Mining Tool and Its Web Application. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_1

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  • DOI: https://doi.org/10.1007/978-3-540-30537-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23987-1

  • Online ISBN: 978-3-540-30537-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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