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Principles of data mining

Author: M A Bramer
Publisher: London : Springer, 2013.
Series: Undergraduate topics in computer science.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Bramer, M.A. (Max A.), 1948-
Principles of data mining.
London : Springer, 2013
(OCoLC)820780629
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: M A Bramer
ISBN: 9781447148845 1447148843
OCLC Number: 828676626
Description: 1 online resource.
Contents: Introduction to Data Mining --
Data for Data Mining --
Introduction to Classification: Naïve Bayes and Nearest Neighbour --
Using Decision Trees for Classification --
Decision Tree Induction: Using Entropy for Attribute Selection --
Decision Tree Induction: Using Frequency Tables for Attribute Selection --
Estimating the Predictive Accuracy of a Classifier --
Continuous Attributes --
Avoiding Overfitting of Decision Trees --
More About Entropy --
Inducing Modular Rules for Classification --
Measuring the Performance of a Classifier --
Dealing with Large Volumes of Data --
Ensemble Classification --
Comparing Classifiers --
Association Rule Mining I --
Association Rule Mining II --
Association Rule Mining III: Frequent Pattern Trees --
Clustering --
Text Mining.
Series Title: Undergraduate topics in computer science.
Responsibility: Max Bramer.

Abstract:

This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a  Read more...

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From the reviews of the second edition: "This book introduces the concept of data mining and explains the various techniques involved. ... This book is written primarily as a text for a course on Read more...

 
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