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Tuesday, May 19, 2020 | History

4 edition of Intelligent data analysis found in the catalog.

Intelligent data analysis

Intelligent data analysis

an introduction

  • 251 Want to read
  • 30 Currently reading

Published by Springer in Berlin, New York .
Written in English

    Subjects:
  • Mathematical statistics.,
  • Artificial intelligence.,
  • Mathematical statistics -- Data processing.

  • Edition Notes

    Includes bibliographical references and index.

    Statementeditors, Michael Berthold, David J. Hand.
    ContributionsBerthold, Michael., Hand, D. J.
    Classifications
    LC ClassificationsQA276 .B4255 1999
    The Physical Object
    Paginationix, 400 p. :
    Number of Pages400
    ID Numbers
    Open LibraryOL20715767M
    ISBN 103540658084

    Open Library is an open, editable library catalog, building towards a web page for every book ever published. Intelligent Data Analysis by Michael R. Berthold, David J Hand, , Springer edition, paperback. The book concludes with a chapter on Visualization and a better-degree overview of the IDA processes, which illustrates the breadth of software of the introduced concepts. How to Download Intelligent Data Analysis: An Introduction Pdf? Business Analysis for Business Intelligence Pdf. Recent Searches: Intelligent Data Analysis: An.

    Computational Intelligent Data Analysis for Sustainable Development - CRC Press Book Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and. The data show that Jr. on the psychology of intelligence analysis available to a new generation of intelligence practitioners and scholars. sentences from Chapter 4 of this book: Intelligence analysts should be self-conscious about their rea-soning Size: 1MB.

    ISBN: OCLC Number: Description: xiv, pages: illustrations ; 26 cm. Contents: Introduction to intelligent data analysis / D. Brynn Hibbert --Knowledge transfer / Sharbari Lahiri and Martin J. Stillman --Genetic algorithms, linkage learning, and scalable data mining / Hillol Kargupta [and others] --Theory and application of fuzzy . Data objects with the same values cannot be distinguished in a scatter plot. To avoid this e ect, jitter is used, i.e. before plotting the points, small random values are added to the coordinates. Jitter is essential for categorical attributes. Compendium slides for \Guide to Intelligent Data Analysis", Springer


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