Computational Intelligence Applications in Business Intelligence and Big Data Analytics

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Abdelhadi Fennan
ACO
Amine El Haddadi
Amit Goel
Anass El Haddadi
Ankur Dumka
Artificial neural networks
Arun Kumar Sangaiah
Arunkumar Thangavelu
Attribute Relevance Analysis
B. K. Tripathy
Bernard Dousset
BI
Big Data
Big Data Analytics
Big Data Technologies
BPMN Model
Business Process
Category=UB
Category=UN
Category=UNF
Category=UTF
Chuanping Hu
CI
CI Approach
cloud data analytics
CVaR Measure
CVaR Optimization
Data Set
Deepthi P. Hudedagaddi
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eq_computing
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eq_isMigrated=2
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Execution Time
Fadwa Bouhafer
fuzzy expert systems
Fuzzy Sets
Genetic algorithms
Goran Klepac
Handling Big Data
Health Informatics
human behavior analysis models
imbalanced data prediction
indian edition
Intuitionistic Fuzzy Set
Jhuma Ray
Knowledge Acquisition
Leo Mrsic
Lin Mei
M. Sivarathinabala
MapReduce
metaheuristic optimization
Muthu Ramachandran
Nihal Chouati
P. S. Deepthi
R. Baskaran
R. Sasikala
Robert Kopal
rough set theory
Rough Sets
S. Abirami
Sabu M. Thampi
Service Component Model
Sharding Key
Sharding Techniques
Siddhartha Bhattacharyya
Smart Meters
social network analysis
Unstructured Data
Video Surveillance System
William A. Rivera
Yunhuai Liu
Zakaria Boulouard
Zheng Xu
Zhiguo Yan

Product details

  • ISBN 9781498761017
  • Weight: 1088g
  • Dimensions: 178 x 254mm
  • Publication Date: 12 Jun 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.