图书名称： Data Mining for Service (Studies in Big Data)Jan 4, 2014， Studies in Big Data Volume 3
作者：Katsutoshi Yada   
出版社：Springer International Publishing
页数：314
出版时间：2014                           
语言：English
格式：pdf
内容简介：



n the globalized economy, the service sector is expanding rapidly and becoming
more and more important. Many researchers have conducted research on services
from various points of view and offered insights to business owners. Recognized as
one of the most important challenges in research on services among practitioners
and researchers is how to improve service productivity and efficiently ensure
customer satisfaction with limited natural and human resources. Due to their
nature, services used to be difficult to research using a scientific approach, but the
innovation of digital devices has led to the accumulation of a variety of data,
which is gradually enabling researchers to analyze services scientifically.
Data mining is one of the most important steps to scientific analysis of service
processes. It is a series of processes which include collecting and accumulating
data, modeling phenomena, and discovering new information. Numerous technical
papers and studies on data mining have been published in computer science. Using
calculation speed and prediction accuracy as the evaluation criteria, many of these
studies have contributed to the efficient processing of a large amount of data.
However, when it comes to applying data mining to analyzing services, calculation
speed and prediction accuracy do not suffice; instead, algorithms and techniques
that are appropriate for a particular service must be adopted or developed.
Therefore, expertise in the service domain is crucial in applying data mining in
services. This book reveals how data mining can be applied to the service sector
within a variety of service-related examples. Understanding the compatible rela-
tion between the expertise in services and data mining techniques will provide
insights on the extended use of data mining in other service domains.

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