Computational Intelligence Applications in Business and?Big?Data Analytics [Hardcover]

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.

Editors

Contributors

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 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 A PPLICAT IONS OF COMPUTAT IONAL INTELLIGENCE

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