Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 3330003871 ISBN 13: 9783330003873
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 50,66
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Publicado por LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 3330003871 ISBN 13: 9783330003873
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 61,90
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book explores the concepts and techniques of data mining and machine learning, a promising and flourishing frontier in data and information systems and their applications. this book provides the background necessary in these areas in order to facilitate the reader¿s comprehension of their respective roles in data mining. Rather, the book is a comprehensive introduction to data mining, presented with effectiveness and scalability issues in focus. This book presents an overall picture of the field, introducing interesting data mining techniques and systems and discussing applications and research directions. An important motivation for writing this book was the need to build an organized framework for the study of data mining¿a challenging task, owing to the extensive multidisciplinary nature of this fast-developing field. We hope that this book will encourage people with different backgrounds and experiences to exchange their views regarding data mining and machine learning so as to contribute toward the further promotion and shaping of this exciting and dynamic field.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 3330003871 ISBN 13: 9783330003873
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 61,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the concepts and techniques of data mining and machine learning, a promising and flourishing frontier in data and information systems and their applications. this book provides the background necessary in these areas in order to facilitate the reader's comprehension of their respective roles in data mining. Rather, the book is a comprehensive introduction to data mining, presented with effectiveness and scalability issues in focus. This book presents an overall picture of the field, introducing interesting data mining techniques and systems and discussing applications and research directions. An important motivation for writing this book was the need to build an organized framework for the study of data mining-a challenging task, owing to the extensive multidisciplinary nature of this fast-developing field. We hope that this book will encourage people with different backgrounds and experiences to exchange their views regarding data mining and machine learning so as to contribute toward the further promotion and shaping of this exciting and dynamic field. 144 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 3330003871 ISBN 13: 9783330003873
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 61,90
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the concepts and techniques of data mining and machine learning, a promising and flourishing frontier in data and information systems and their applications. this book provides the background necessary in these areas in order to facilitate the reader's comprehension of their respective roles in data mining. Rather, the book is a comprehensive introduction to data mining, presented with effectiveness and scalability issues in focus. This book presents an overall picture of the field, introducing interesting data mining techniques and systems and discussing applications and research directions. An important motivation for writing this book was the need to build an organized framework for the study of data mining-a challenging task, owing to the extensive multidisciplinary nature of this fast-developing field. We hope that this book will encourage people with different backgrounds and experiences to exchange their views regarding data mining and machine learning so as to contribute toward the further promotion and shaping of this exciting and dynamic field.