Data Mining for Service

Katsutoshi Yada

ISBN 10: 3662507439 / ISBN 13: 9783662507438

Published by Springer Berlin Heidelberg, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as 'big data', that is, are huge, heterogeneous, complex, distributed, etc.Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to other fields.

Seller Inventory # 9783662507438

Bibliographic Details

• Title: Data Mining for Service
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2016
• Language: English
• ISBN 10: 3662507439
• ISBN 13: 9783662507438
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 458 grams

About this title

Synopsis

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc.

Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.

Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to other fields.