Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Vijayan Sugumaran is a Professor of Management Information Systems in the department of Decision and Information Sciences at Oakland University, Rochester, Michigan, USA. His research interests are in the areas of Software Product Lines, Domain Modeling, Ontologies and Semantic Web, Intelligent Agent and Multi-Agent Systems, and Knowledge-Based Systems. Dr. Sugumaran is the editor-in-chief of the International Journal of Intelligent Information Technologies and also serves on the editorial board of eight other journals. He is the chair of Intelligent Information Systems track for the Information Resources Management Association International Conference (IRMA 2001 - 2002, 2005 - 2007) and the Intelligent Agent and Multi-Agent Systems in Business mini-track for Americas Conference on Information Systems (AMCIS 1999 - 2007). He also served as the chair of E-Commerce track for Decision Science Institute’s Annual Conference, 2004. Arun Kumar Sangaiah obtained his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from VIT University, Vellore, Tamil Nadu, India. He is presently working as Associate Professor in School of Computing Science and Engineering, VIT University, India. His experience and areas of interest focus on Software Engineering, Soft Computing, Wireless Networks, Bio-Informatics, and Embedded Systems. He has author of more than 100 publications in different journals and conference of National and International repute. Dr.Arun Kumar is member of international advisory board of IJIIT (IGI publisher) and editorial board member of IJIES, Japan. Also, he has served as a special guest editor of various international journals (Inderscience, Hindawi, IGI publishers). He is an active member of Compute Society of India. He has guided many research students and post-graduate students in the field of software engineering, communication networks, ad hoc networks, database, and soft computing techniques. Arunkumar Thangavelu is associated with Vellore Institute of Technology as Senior Professor in School of Computing Sciences. His research focuses on soft computing approaches, ad hoc high-performance networking (in MANET/ VANET/ PANET), data mining / analysis, Big Data Analysis, ambient intelligence, aspect based network management, context aware middleware and Internet of Things (IoT). He has published more than 90 works in multiple international conferences and journals. He serves as chair and program committee member in organizing numerous international / national conferences, in which he had delivered key note lecturers. He has authored research books and reviews research papers for International journals such as IEEE, Science Direct and Wiley publications. He is also fond of giving lecturers and helping the research community to achieve its potential through active participation.

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