<p><p>This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy sys
Computational Intelligence Applications in Business Intelligence and Big Data Analytics
β Scribed by Vijayan Sugumaran, Arun Kumar Sangaiah, Arunkumar Thangavelu
- Publisher
- Auerbach Publications;CRC Press
- Year
- 2017
- Tongue
- English
- Leaves
- 379
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Content: 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 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
β¦ Subjects
Information technology -- Management.;Computational intelligence.;Big data.
π SIMILAR VOLUMES
1 online resource (1 v.) :
Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and serv
Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and serv
<p><span>In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics.</span></p><p><span>Covering innovative approaches, advanced algorit