Data Mining Practical Machine by Witten (102 results)

Paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1250grams, ISBN:9780120884070.

Paperback. Condition: Very Good. This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data miningincluding both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource. Complementing the authors' instruction is a fully functional platform-independent Java software system for machine learning, available for download. Apply it to the sample data sets provided to refine your data mining skills, apply it to your own data to discern meaningful patterns and generate valuable insights, adapt it for your specialized data mining applications, or use it to develop your own machine learning schemes. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: Very Good. 1750498832. 6/21/2025 9:40:32 AM.

Soft cover. Condition: New. ISBN:9789351073895,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Paperback. Condition: Good. 4. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Condition: new.

paperback. Condition: New. Paperback. Pub Date: 2005 Pages: 524 in Publisher: Machinery Industry Press classic original stacks Data Mining: Practical Machine Learning Technology (English Edition) (2) (new version) of the first edition in 1999 the major changes. Although the core concept has not changed. but the book was updated so that it can reflect the changes in the past five years. References almost doubled. The important part of the new version include: 30 new chapters; strengthen Weka machine learning work platfo.

Soft cover. Condition: New. Language:Chinese.Author:(XIN XI LAN)WEI TENG (Witten I.H.) (XIN XI LAN)FU LAN KE (Frank E.) DONG LIN DENG YI.Binding:Soft cover.Publisher:Machinery Industry Press Pub. Date :2006-02-01.

paperback. Condition: New. Paperback. Pub Date :2014-05-01 Pages: 480 Publisher: Machinery Industry Press. Data Mining: Practical Machine Learning Tools and Techniques (original book 3rd edition) is a classic in the field of machine learning and data mining. the best-selling textbook. is Many foreign schools selected materials. The book describes in detail the techniques and tools of machine learning and data mining practices for the field. and provides an open platform for data mining Weka. This book includes: data in.

paperback. Condition: New. Paperback Language: English Ian of H. Witten. Eibe Frank. and by Mark A. Hall: Data Mining: Practical Machine Learning Tools and Techniques. Third Edition (ISBN 978-0-12-374856-0). Original English language edition copyright 2011 by Elsevier Inc. All rights reserved. Authorized English language reprint edition published by the Proprietor. Copyright 2012 by Elsevier (Singapore) Pte Ltd. Printed in China by China Machine Press under special arrangement with Elsevier (Singapore) Pte Ltd. This ed.