Data Mining for Service (Record no. 52842)
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000 -LEADER | |
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fixed length control field | 02926nam a22005055i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-642-45252-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420221255.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140103s2014 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783642452529 |
-- | 978-3-642-45252-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
245 10 - TITLE STATEMENT | |
Title | Data Mining for Service |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | VIII, 291 p. 109 illus., 12 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Big Data, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Part I Fundamental Technologies Supporting Service Science -- Part II Knowledge Discovery from Text -- Part III Approach for New Services in Social Media -- Part IV Data Mining Spreading into Various Service Fields. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Yada, Katsutoshi. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-45252-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg : |
-- | Imprint: Springer, |
-- | 2014. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operations research. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Decision making. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Operation Research/Decision Theory. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2197-6503 ; |
912 ## - | |
-- | ZDB-2-ENG |
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