Machine learning techniques pattern di mallick pradeep (6 risultati)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 48,70
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Taschenbuch. Condizione: Neu. Machine Learning Techniques for Pattern Discovery - Gene Expressions | Pradeep Kumar Mallick (u. a.) | Taschenbuch | 144 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202006378 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]…bod[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: 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 clu…stering 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.
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: 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 cluster…ing 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 .VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,57
EUR 61,17 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 clusteri…ng 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 .
