Buy Used
£3.64
+ £2.80 delivery
Used: Good | Details
Condition: Used: Good
Comment: Dispatched from London.
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See this image

Data Mining, Southeast Asia Edition: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) Hardcover – 6 Apr 2006

3.0 out of 5 stars 1 customer review

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
Hardcover
£103.30 £3.64
click to open popover


Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.


Product details

  • Hardcover: 800 pages
  • Publisher: Morgan Kaufmann; 2 edition (4 Jun. 2006)
  • Language: English
  • ISBN-10: 1558609016
  • ISBN-13: 978-1558609013
  • Product Dimensions: 19 x 3.2 x 23.5 cm
  • Average Customer Review: 3.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: 1,465,608 in Books (See Top 100 in Books)
  • Would you like to tell us about a lower price?
    If you are a seller for this product, would you like to suggest updates through seller support?

  • See Complete Table of Contents

Product description

Review

"Now, for the first time, there is an outstanding text on data mining which covers the science as well as the process in a comprehensive manner and with great lucidity." --Laks Lakshmanan, Concordia University, on the 1st ed:

The second edition of Han and Kamber Data Mining: Concepts and Techniques updates and improves the already comprehensive coverage of the first edition and adds coverage of new and important topics, such as mining stream data, mining social networks, and mining spatial, multi-media and other complex data. This book will be an excellent textbook for courses on Data Mining and Knowledge Discovery.Gregory Piatetsky-Shapiro, President, KDnuggets

The second edition is the most complete and up-to-date presentation on this topic. Compared to the already comprehensive and thorough coverage of the first edition it adds the state-of-the-art research results in new topics such as mining stream, time-series and sequence data as well as mining spatial, multimedia, text and web data. This book is a "must have" for all instructors, researchers, developers and users in the area of data mining and knowledge discovery.Hans-Peter Kriegel, University of Munich, Germany

Synopsis

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications.

This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data including stream data, sequence data, graph structured data, social network data, and multi-relational data. Whether you are a seasoned professional or a new student of data mining, this book has much to offer you. It offers a comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data. It includes updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning. It contains dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects.

See all Product description

Customer reviews

Share your thoughts with other customers
See all 1 customer reviews

Top customer reviews

28 October 2009
Format: Hardcover|Verified Purchase

Most helpful customer reviews on Amazon.com

Amazon.com: 3.7 out of 5 stars 13 reviews
S. Matthews
4.0 out of 5 starsefficient, if technically a bit shallow
24 October 2008 - Published on Amazon.com
Format: Hardcover|Verified Purchase
4 people found this helpful.
Kriti
5.0 out of 5 starsEverything you want to know about data science is in this book
2 January 2017 - Published on Amazon.com
Format: Hardcover|Verified Purchase
Olumide A.
3.0 out of 5 starsClass text
2 December 2016 - Published on Amazon.com
Format: Hardcover|Verified Purchase
Saravanan Thirumuruganathan
5.0 out of 5 starsGreat book for data mining
11 November 2008 - Published on Amazon.com
Format: Hardcover|Verified Purchase
2 people found this helpful.
Reviewer
1.0 out of 5 starsData Mining: Lack of Concepts, Techniques.
15 November 2010 - Published on Amazon.com
Format: Hardcover|Verified Purchase
6 people found this helpful.
Pages with related products. See and discover other items: data mining

Where's My Stuff?

Delivery and Returns

Need Help?