%0 Book %1 Yada2014 %B Studies in Big Data %C Cham %D 2014 %E Yada, Katsutoshi %I Springer %K 01624 103 springer book ai enterprise business data pattern recognition analysis processing information retrieval zzz.big %R 10.1007/978-3-642-45252-9 %T Data Mining for Service %V 3 %X 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. %@ 978-3-642-45251-2

@book{Yada2014, abstract = {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.}, added-at = {2017-04-09T09:04:32.000+0200}, address = {Cham}, biburl = {https://www.bibsonomy.org/bibtex/27fa418a6ad0a64bd1adfe1bc72c81496/flint63}, doi = {10.1007/978-3-642-45252-9}, editor = {Yada, Katsutoshi}, file = {SpringerLink:2014/Yada2014.pdf:PDF;Springer Product Page:http\://www.springer.com/978-3-642-45251-2:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3642452515/:URL}, groups = {public}, interhash = {418142e0dea06982b647598983fc3cfe}, intrahash = {7fa418a6ad0a64bd1adfe1bc72c81496}, isbn = {978-3-642-45251-2}, issn = {2197-6503}, keywords = {01624 103 springer book ai enterprise business data pattern recognition analysis processing information retrieval zzz.big}, publisher = {Springer}, series = {Studies in Big Data}, timestamp = {2017-07-13T17:31:06.000+0200}, title = {Data Mining for Service}, username = {flint63}, volume = 3, year = 2014 }