Items related to Machine Learning and Data Mining
Synopsis
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.
"synopsis" may belong to another edition of this title.
Buy New
View this item
£ 55.14
£ 9.51 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Machine Learning and Data Mining
Seller Image
Machine Learning and Data Mining
Published by
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 3330003871
ISBN 13: 9783330003873
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783330003873
Quantity: 2 available
Seller Image
Machine Learning and Data Mining
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 3330003871
ISBN 13: 9783330003873
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 509876171
Quantity: Over 20 available
Seller Image
Machine Learning and Data Mining
Published by
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 3330003871
ISBN 13: 9783330003873
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783330003873
Quantity: 1 available
Seller Image
Machine Learning and Data Mining
Published by
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 3330003871
ISBN 13: 9783330003873
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783330003873
Quantity: 2 available