Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2005
ISBN 10: 9812560793 ISBN 13: 9789812560797
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 121,60
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. new title edition. 323 pages. 9.50x6.50x1.00 inches. In Stock.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2005
ISBN 10: 9812560793 ISBN 13: 9789812560797
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 141,59
Anzahl: 4 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: WORLD SCIENTIFIC PUB CO INC, 2005
ISBN 10: 9812560793 ISBN 13: 9789812560797
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. InhaltsverzeichnisIntroduction to Data Mining Decision Trees Clustering Techniques Ensemble Methods Decomposition Methodology in Data Mining Feature Set Decomposition Space Decomposition Sample Decomposition Function Decompositio.
Sprache: Englisch
Verlag: World Scientific Publishing Company Mai 2005, 2005
ISBN 10: 9812560793 ISBN 13: 9789812560797
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery from Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools, and then joining them together to solve the initial problem. The benefits of decomposition methodology in data mining include: increased performance (classification accuracy), conceptual simplification of the problem, enhanced feasibility with huge databases, clearer and more comprehensible results, reduced runtime by solving smaller problems and by using parallel/distributed computation, and the opportunity of using different techniques for individual sub-problems.