Last edited by Voodoonos
Monday, July 27, 2020 | History

7 edition of Data Mining found in the catalog.

Data Mining

Opportunities and Challenges

by John Wang

  • 186 Want to read
  • 15 Currently reading

Published by IGI Global .
Written in English

    Subjects:
  • Business information systems,
  • Databases & data structures,
  • Information Management,
  • Computers,
  • Computers - General Information,
  • Computer Books: General,
  • Information Technology,
  • Artificial Intelligence - General,
  • Management Information Systems,
  • Data mining

  • The Physical Object
    FormatHardcover
    Number of Pages483
    ID Numbers
    Open LibraryOL8854655M
    ISBN 101591400511
    ISBN 109781591400516

    A data mining solution can be based either on multidimensional data-that is, an existing cube-or on purely relational data, such as the tables and views in a data warehouse, or on text files, Excel workbooks, or . Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that .

    The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the Author: Parteek Bhatia. Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on .

    is a platform for academics to share research papers. UH Data Mining Hypertextbook, free for instructors courtesy NSF. Sholom M. Weiss and Nitin Indurkhya, Predictive Data Mining: A Practical Guide, Morgan Kaufmann, Graham Williams, Data Mining .


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Data Mining by John Wang Download PDF EPUB FB2

XLMiner, 3rd Edition () XLMiner, 2nd Edition () XLMiner, 1st Edition () We're at a University Near You. This textbook is used at over universities, colleges, and business schools.

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Instead of the typical statistical or programming. Errata on the 3rd printing (as well as the previous ones) of the book. Art work of the book. Course slides (in PowerPoint form) (and will be updated without notice!) Chapter 1.

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This is a book written by an outstanding researcher who has made fundamental .