BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

International Edition

Intl. Ed.

DATA MINING: CONCEPTS AND TECHNIQUES, 3RD ED.

Intl. Ed.

DATA MINING: CONCEPTS AND TECHNIQUES, 3RD ED. Softcover - 2011

by HAN

Add to wish list
  • New
  • Paperback
New
International Edition

Description

ELSEVIER. Softcover. Brand New. “International Edition” - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS
Ask the seller a question Add to wish list
A$28.83
A$20.87 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Books WorldWide Express (India)
The BIBLIO Guarantee

Details

  • Title DATA MINING: CONCEPTS AND TECHNIQUES, 3RD ED.
  • Author HAN
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 744
  • Volumes 1
  • Language ENG
  • Publisher ELSEVIER, U.S.A.
  • Publication date 2011-07
  • Illustrated Yes
  • Bookseller's Inventory # BWE-BWECH52866
  • ISBN 9780123814791 / 0123814790
  • Weight 2.69 lbs (1.22 kg)
  • Dimensions 9.25 x 7.5 x 1.5 in (23.50 x 19.05 x 3.81 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2011010635
  • Dewey Decimal Code 006.312
  • Quantity available 2

About Books WorldWide Express India

Biblio member since 2009

We sell all types of international text books since 5 years and provide better customer service all over the world.

Terms of Sale:

30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged. Return address: Sharonda Watts, 5701 Martin St Lot 1, Fort Worth, TX76119, USA.

Browse books from Books WorldWide Express

Reader reviews for DATA MINING: CONCEPTS AND TECHNIQUES, 3RD ED.

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining.

This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.

Please wait a moment while we load the requested page.

tracking-