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Advanced Data Mining Techniques
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	275962237 Buchausg. u.d.T.: ‡Olson, David L., 1944 - : Advanced data mining techniques
087q	978-3-540-76916-3
100b	Olson, David L.
104b	Delen, Dursun
331	Advanced Data Mining Techniques
410	Berlin, Heidelberg
412	Springer-Verlag Berlin Heidelberg
425	2008
425a	2008
433	Online-Ressource (digital)
451b	SpringerLink. Bücher
501	Literaturverz. S. 169 - 176
517	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
527	Buchausg. u.d.T.: ‡Olson, David L., 1944 - : Advanced data mining techniques
540a	ISBN 978-3-540-76917-0
700	\|KJQ
700	\|UF
700	\|BUS083000
700	\|COM039000
700	\|*68P15
700	\|68T05
700	\|68-01
700b	\|650
700b	\|006.312
700b	\|004
700c	\|HF54.5-54.56
700g	1271076551 ST 330
700m	\|006.312
750	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.
753	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
902s	212347217 Data Mining
907s	212347217 Data Mining
012	28057813X
081	Advanced Data Mining Techniques
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-540-76917-0