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Advanced Data Mining Techniques
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
|
| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 020 | |a 9783540769170 |9 978-3-540-76917-0 | ||
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| 100 | 1 | |a Olson, David L. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Advanced Data Mining Techniques |h [electronic resource] / |c by David L. Olson, Dursun Delen. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a XII, 180 p. 21 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Data Mining Process -- Data Mining Methods As Tools -- 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 -- Applications of Methods. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Business information services. | |
| 650 | 0 | |a Operations research. | |
| 650 | 0 | |a Data mining. | |
| 650 | 1 | 4 | |a IT in Business. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 700 | 1 | |a Delen, Dursun. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540846147 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540769163 |
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| 950 | |a Business and Economics (SpringerNature-11643) | ||
| 950 | |a Business and Management (R0) (SpringerNature-43719) | ||