Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)

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Book details

AuthorWitten, Ian H.,Frank, Eibe
PublisherMorgan Kaufmann
Bindingpaperback
PublishedJune 22, 2005
Edition2
LanguageEnglish
Pages560
ISBN-100120884070
ISBN-139780120884070
Weight2.35 lb
Dimensions
H × W × L		 1.2 in × 7.5 in × 9.2 in

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)

$18.97 $75.55
Availability:
In stock
SKU:
0120884070-4
Condition
Condition notes

Used book in good condition. Pages and cover are intact, with signs of use. Notes or highlighting are possible. CDs and access codes may be missing.

About this book

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The...

Read the full description

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.
The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.
* Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization—in a new, interactive interface


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Product type:
Book
Publisher
Morgan Kaufmann
Collections:
AI & Machine Learning, All Books, Best Sellers, Computer Science, Computers & Technology, Data Mining, Databases & Big Data, Network Administration, Networking & Cloud Computing, On Sale
Tags:
Data Mining, Intelligence & Semantics, Storage & Retrieval
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