Computational Intelligence Applications in Business Intelligence and Big Data Analytics (eBook, PDF)

Redaktion: Sugumaran, Vijayan; Thangavelu, Arunkumar; Sangaiah, Arun Kumar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 378
• Erscheinungstermin: 26. Juni 2017
• Englisch
• ISBN-13: 9781351720250
• Artikelnr.: 48787200

Autorenporträt

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.

Inhaltsangabe

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