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Data mining for service

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 a...

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Detalles Bibliográficos
Autor principal: Yada, Katsutoshi
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-45252-9
http://cds.cern.ch/record/1646850
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author Yada, Katsutoshi
author_facet Yada, Katsutoshi
author_sort Yada, Katsutoshi
collection CERN
description 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.
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spelling cern-16468502021-04-21T21:20:48Zdoi:10.1007/978-3-642-45252-9http://cds.cern.ch/record/1646850engYada, KatsutoshiData mining for serviceEngineeringVirtually 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.Springeroai:cds.cern.ch:16468502014
spellingShingle Engineering
Yada, Katsutoshi
Data mining for service
title Data mining for service
title_full Data mining for service
title_fullStr Data mining for service
title_full_unstemmed Data mining for service
title_short Data mining for service
title_sort data mining for service
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-45252-9
http://cds.cern.ch/record/1646850
work_keys_str_mv AT yadakatsutoshi dataminingforservice