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Principles of Data Mining

โœ Scribed by Max Bramer

Publisher
Springer
Year
2007
Tongue
English
Leaves
340
Series
Undergraduate Topics in Computer Science
Edition
1
Category
Library
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โœฆ Synopsis

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers. The book aims to help the general reader develop the necessary understanding to use commercial data mining packages, and to enable advanced readers to understand or contribute to future technical advances. Includes exercises and glossary.

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Principles of data mining
๐Ÿ“ Principles of data mining
โœ Max Bramer ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This is an undergraduate introduction to data mining. The book doesn't go into details. It may be suitable for people who want to get a quick feel of the data mining field. People who need more details shall read more serious and comprehensive introductions. Overall I am giving 4 stars, because I li

Principles of data mining
๐Ÿ“ Principles of data mining
โœ Max A. Bramer ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will bene

Principles of Data Mining
๐Ÿ“ Principles of Data Mining
โœ Max Bramer ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will bene

Principles of Data Mining
๐Ÿ“ Principles of Data Mining
โœ Max Bramer ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This book explains the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given. This will bene

Principles of data mining
๐Ÿ“ Principles of data mining
โœ M A Bramer ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

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