Data Mining for Service

Data Mining for Service

4.11 - 1251 ratings - Source

Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as qbig dataq, 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.1. Background. of. Service. Science. In recent years, amidst advancing globalization of the global economy, in both developed and developing countries , the services sector is becoming increasingly important in various fields [2, 9].

Title:Data Mining for Service
Author:Katsutoshi Yada
Publisher:Springer Science & Business Media - 2014-01-03


You Must CONTINUE and create a free account to access unlimited downloads & streaming