Abstract
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.
| Original language | English |
|---|---|
| Publisher | Springer Berlin Heidelberg |
| Number of pages | 180 |
| ISBN (Print) | 9783540769163 |
| DOIs | |
| State | Published - 1 Dec 2008 |
| Externally published | Yes |
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Advanced data mining techniques. / Olson, David L.; Delen, Dursun.
Springer Berlin Heidelberg, 2008. 180 p.Research output: Book/Report › Book
TY - BOOK
T1 - Advanced data mining techniques
AU - Olson, David L.
AU - Delen, Dursun
PY - 2008/12/1
Y1 - 2008/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84885708772&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-76917-0
DO - 10.1007/978-3-540-76917-0
M3 - Book
AN - SCOPUS:84885708772
SN - 9783540769163
BT - Advanced data mining techniques
PB - Springer Berlin Heidelberg
ER -