Computational Intelligence Applications in Business Intelligence and Big Data Analytics. (Record no. 71515)
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fixed length control field | 03965cam a2200529Ma 4500 |
001 - CONTROL NUMBER | |
control field | 9781351720250 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220711212532.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170811s2017 enka o 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 1351720252 |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781351720250 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781498761024 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 149876102X |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 658.4 |
100 1# - AUTHOR NAME | |
Author | Sugumaran, Vijayan. |
245 10 - TITLE STATEMENT | |
Title | Computational Intelligence Applications in Business Intelligence and Big Data Analytics. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | London : |
Publisher | CRC Press, |
Year of publication | 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (348 pages) : |
520 2# - SUMMARY, ETC. | |
Summary, etc | "There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book."--Provided by publisher. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Editors -- Contributors -- PART I: INTRODUCTION -- 1 Computational Intelligence Paradigms in Business Intelligence and Analytics -- PART II: COMPUTATIONAL INTELLIGENCE IN BUSINESS INTELLIGENCE AND ANALYTICS -- 2 Conditional Value at Risk-Based Portfolio Optimization Using Metaheuristic Approaches -- 3 Big Data Analysis and Application for Video Surveillance Systems -- 4 Trends in Mining Biological Big Data -- 5 Computational Challenges in Group Membership Prediction of Highly Imbalanced Big Data Sets -- PART III: DATA ANALYTICS AND PREDICTION MODELS -- 6 A New Paradigm in Fraud Detection Modeling Using Predictive Models, Fuzzy Expert Systems, Social Network Analysis, and Unstructured Data -- 7 Speedy Data Analytics through Automatic Balancing of Big Data in MongoDB Sharded Clusters -- 8 Smart Metering as a Service Using Hadoop (SMAASH) -- 9 Service-Oriented Architecture for Big Data and Business Intelligence Analytics in the Cloud -- PART IV: APPLICATIONS OF COMPUTATIONAL INTELLIGENCE -- 10 Rough Set and Neighborhood Systems in Big Data Analysis -- 11 An Investigation of Fuzzy Techniques in Clustering of Big Data -- 12 A Survey on Learning Models with Respect to Human Behavior Analysis for Large-Scale Surveillance Videos -- 13 Mining Unstructured Big Data for Competitive Intelligence and Business Intelligence -- Index. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Management. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781351720250 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.taylorfrancis.com/books/9781315180748 |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
588 ## - | |
-- | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information technology |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Big data. |
938 ## - | |
-- | Taylor & Francis |
-- | TAFR |
-- | 9781315180748 |
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