Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374 ISBN 13: 9786202006378
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 99,25
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In den WarenkorbPaperback. Zustand: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.
Verlag: LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202006374 ISBN 13: 9786202006378
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
EUR 55,90
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step . 144 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374 ISBN 13: 9786202006378
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 46,18
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mallick Pradeep KumarDr. Pradeep Kumar Mallick is currently working as a Professor in the Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India. His current area of research is Dat.
Verlag: LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202006374 ISBN 13: 9786202006378
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 55,90
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step .Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374 ISBN 13: 9786202006378
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 56,57
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book Provides a thorough overview of development in data mining tools is to effectively and efficiently extract useful biological information from gene expression datasets in pattern-recognition to allow the development of clustering and classification techniques. Discuss the incorporated computational models to extract hidden and useful information and illustrates the concepts of feature selection, clustering and classification techniques. This book will maintain and generate an interest in data mining methods. It major findings of this book in detail as follows: complete information on gene clustering, classification of basic concepts in data mining, expanded explanation of hybrid pattern discovery techniques, stating and development of new algorithmic approaches step by step .