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Inhaltsangabe
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 .
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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 .
Biografía del autor
Dr. 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 Data Mining, Machine Intelligence and Image Processing. He published more than 35 papers in international journals and authored 3 books.
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Machine Learning Techniques for Pattern Discovery ¿ Gene Expressions
Verlag:
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202006374
ISBN 13: 9786202006378
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. 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. Bestandsnummer des Verkäufers 9786202006378
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Machine Learning Techniques for Pattern Discovery - Gene Expressions
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374
ISBN 13: 9786202006378
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Zustand: 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. Bestandsnummer des Verkäufers 385901417
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Machine Learning Techniques for Pattern Discovery ¿ Gene Expressions
Verlag:
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202006374
ISBN 13: 9786202006378
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Taschenbuch. 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. Bestandsnummer des Verkäufers 9786202006378
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Machine Learning Techniques for Pattern Discovery ¿ Gene Expressions
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374
ISBN 13: 9786202006378
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Taschenbuch. 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 . Bestandsnummer des Verkäufers 9786202006378
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Machine Learning Techniques for Pattern Discovery Gene Expressions
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202006374
ISBN 13: 9786202006378
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Paperback. Zustand: Brand New. 144 pages. 8.66x5.91x0.33 inches. In Stock. Bestandsnummer des Verkäufers zk6202006374
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