Computational Intelligence Applications in Business Intelligence and Big Data Analytics /
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 applicat...
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| Format: | text |
| Language: | eng |
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Boca Raton : CRC Press, Taylor & Francis Group,
2022
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| _version_ | 1826472874835181568 |
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| author | Sugumaran, Vijayan, 1960-, editor 625411 Sangaiah, Arun Kumar, 1981-, editor 651189 Thangavelu, Arunkumar, editor 651190 |
| author_facet | Sugumaran, Vijayan, 1960-, editor 625411 Sangaiah, Arun Kumar, 1981-, editor 651189 Thangavelu, Arunkumar, editor 651190 |
| author_sort | Sugumaran, Vijayan, 1960-, editor 625411 |
| collection | OCEAN |
| description | 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. |
| first_indexed | 2024-03-05T17:24:48Z |
| format | text |
| id | KOHA-OAI-TEST:608104 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:24:48Z |
| publishDate | 2022 |
| publisher | Boca Raton : CRC Press, Taylor & Francis Group, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6081042024-02-05T04:30:11ZComputational Intelligence Applications in Business Intelligence and Big Data Analytics / Sugumaran, Vijayan, 1960-, editor 625411 Sangaiah, Arun Kumar, 1981-, editor 651189 Thangavelu, Arunkumar, editor 651190 textBoca Raton : CRC Press, Taylor & Francis Group,2022©2017engThere 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.Includes index.Part I INTRODUCTION 1 Computational Intelligence Paradigms in Business Intelligence and Analytics -- Part II COMPUTAT IONAL INTELLIGENCE IN BUSINESS INTELLIGENCE AND ANALYTICS 2 Conditional Value at Risk-Based Portfolio Optimization Using MetaheuristicApproaches 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 HighlyImbalanced 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 MongoDBSharded Clusters 8 Smart Metering as a Service Using Hadoop (SMAASH 9 Service-Oriented Architecture for Big Data and Business Intelligence Analyticsin the Cloud -- Part IV A PPLICAT IONS OF COMPUTAT IONAL 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 Analysisfor Large-Scale Surveillance Videos 13 Mining Unstructured Big Data for Competitive Intelligence and BusinessIntelligence -- IndexThere 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.Information technologyComputational intelligenceBig dataURN:ISBN:9781032476766 |
| spellingShingle | Information technology Computational intelligence Big data Sugumaran, Vijayan, 1960-, editor 625411 Sangaiah, Arun Kumar, 1981-, editor 651189 Thangavelu, Arunkumar, editor 651190 Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title | Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title_full | Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title_fullStr | Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title_full_unstemmed | Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title_short | Computational Intelligence Applications in Business Intelligence and Big Data Analytics / |
| title_sort | computational intelligence applications in business intelligence and big data analytics |
| topic | Information technology Computational intelligence Big data |
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