Amazon cover image
Image from Amazon.com

Discovering knowledge in data : an introduction to data mining / Daniel T. Larose and Chantal D. Larose.

By: Contributor(s): Series: Wiley series on methods and applications in data miningPublisher: Hoboken : Wiley, 2014Edition: Second editionDescription: 1 online resource (xviii, 316 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118873571
  • 1118873572
  • 9781118873588
  • 1118873580
  • 9781118874059
  • 1118874056
Subject(s): Genre/Form: Additional physical formats: Print version:: Discovering knowledge in data.DDC classification:
  • 006.3/12 23
LOC classification:
  • QA76.9.D343
Online resources: In: Wiley e-booksSummary: 'This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference'-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes index.

Includes bibliographical references and index.

'This is a new edition of a highly praised, successful reference on data mining, now more important than ever due to the growth of the field and wide range of applications. This edition features new chapters on multivariate statistical analysis, covering analysis of variance and chi-square procedures; cost-benefit analyses; and time-series data analysis. There is also extensive coverage of the R statistical programming language. Graduate and advanced undergraduate students of computer science and statistics, managers/CEOs/CFOs, marketing executives, market researchers and analysts, sales analysts, and medical professionals will want this comprehensive reference'-- Provided by publisher.

Print version record and CIP data provided by publisher.

There are no comments on this title.

to post a comment.

Contact Us

Perpustakaan Tun Seri Lanang, Universiti Kebangsaan Malaysia
43600 Bangi, Selangor Darul Ehsan,Malaysia
+603-89213446 – Consultation Services
019-2045652 – Telegram/Whatsapp
Email: helpdeskptsl@ukm.edu.my

Copyright ©The National University of Malaysia Library