| Description |
1 online resource (xii, 180 pages) : illustrations |
| Contents |
Front Matter; Introduction; Data Mining Process; Memory-Based Reasoning Methods; Association Rules in Knowledge Discovery; Fuzzy Sets in Data Mining; Rough Sets; Support Vector Machines; Genetic Algorithm Support to Data Mining; Performance Evaluation for Predictive Modeling; Applications of Methods; Back Matter |
| Summary |
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated |
| Bibliography |
Includes bibliographical references (pages 169-176) and index |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
Data mining.
|
|
Data Mining
|
|
information technology.
|
|
COMPUTERS -- Database Management -- Data Mining.
|
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Data mining.
|
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Science économique.
|
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Affaires.
|
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Economie de l'entreprise.
|
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Data mining
|
| Form |
Electronic book
|
| Author |
Delen, Dursun.
|
| ISBN |
9783540769170 |
|
354076917X |
|
3540769161 |
|
9783540769163 |
|
128117968X |
|
9781281179685 |
|
9786611179687 |
|
6611179682 |
|
