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Tuesday, August 11, 2020 | History

5 edition of Intelligent data engineering and automated learning found in the catalog.

Intelligent data engineering and automated learning

IDEAL 2008 (2008 TaejЕЏn-si, Korea)

Intelligent data engineering and automated learning

IDEAL 2008 : 9th international conference, Daejeon, South Korea, November 2-5, 2008 : proceedings

by IDEAL 2008 (2008 TaejЕЏn-si, Korea)

  • 249 Want to read
  • 16 Currently reading

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

    Subjects:
  • Database management -- Congresses,
  • Data mining -- Congresses,
  • Intelligent agents (Computer software) -- Congresses

  • Edition Notes

    Includes bibliographical references and index.

    StatementColin Fyfe ... [et al.] (eds.).
    GenreCongresses
    SeriesLecture notes in computer science -- 5326
    ContributionsFyfe, Colin.
    Classifications
    LC ClassificationsQA76.9.D3 I138 2008
    The Physical Object
    Paginationxvi, 534 p. :
    Number of Pages534
    ID Numbers
    Open LibraryOL23667856M
    ISBN 103540889051
    ISBN 109783540889052
    LC Control Number2008937580

    (NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine .   The 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics .

    IDEAL'07 will provide a stimulating forum for presenting and discussing the latest theoretical advances and real-world applications in Intelligent Data Engineering and Automated Learning. The IDEAL'07 . Blackburn, W, Segui Prieto, M & Schuster, AJ , Interpretation of the richardson plot in time series representation. in Intelligent Data Engineering and Automated Learning - IDEAL Data Mining, Cited by: 1.

    The Artificial Intelligence and Robotics (AIR) group studies theory, algorithms, and systems for making intelligent decisions in complex and uncertain environments. The research covers most aspects of .   From among hundreds of nominations, the award team gave the Learning Science Research prize to Arthur Graesser, Professor in the Department of Psychology and the Institute of .


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