Table Of ContentComputational Intelligence
Applications in Business
and Big Data Analytics
Computational Intelligence
Applications in Business
and Big Data Analytics
Edited by
Vijayan Sugumaran
Arun Kumar Sangaiah
Arunkumar Thangavelu
CRC Press
Taylor & Francis Group
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Contents
Editors .....................................................................................................................................vii
Contributors ..............................................................................................................................ix
Part I INtrODUCtION
1 Computational Intelligence Paradigms in Business Intelligence and Analytics ..........3
VIJAYAN SUGUMARAN, ARUN KUMAR SANGAIAH,
AND ARUNKUMAR THANGAVELU
Part II COMPUtatIONaL INtELLIGENCE
IN BUSINESS INtELLIGENCE aND aNaLYtICS
2 Conditional Value at Risk-Based Portfolio Optimization Using Metaheuristic
Approaches .................................................................................................................17
JHUMA RAY AND SIDDHARTHA BHATTACHARYYA
3 Big Data Analysis and Application for Video Surveillance Systems ..........................57
ZHENG XU, ZHIGUO YAN, LIN MEI, CHUANPING HU, AND YUNHUAI LIU
4 Trends in Mining Biological Big Data .......................................................................97
DEEPTHI P. S. AND SABU M. THAMPI
5 Computational Challenges in Group Membership Prediction of Highly
Imbalanced Big Data Sets ........................................................................................119
WILLIAM A. RIVERA AND AMIT GOEL
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 ...............141
GORAN KLEPAC, ROBERT KOPAL, AND LEO MRŠIĆ
7 Speedy Data Analytics through Automatic Balancing of Big Data in MongoDB
Sharded Clusters .......................................................................................................179
R. SASIKALA
8 Smart Metering as a Service Using Hadoop (SMAASH) ..........................................211
ANKUR DUMKA
v
vi ◾ Contents
9 Service-Oriented Architecture for Big Data and Business Intelligence Analytics
in the Cloud ..............................................................................................................237
MUTHU RAMACHANDRAN
Part IV aPPLICatIONS OF COMPUtatIONaL INtELLIGENCE
10 Rough Set and Neighborhood Systems in Big Data Analysis ...................................261
B. K. TRIPATHY
11 An Investigation of Fuzzy Techniques in Clustering of Big Data ............................283
DEEPTHI P. HUDEDAGADDI AND B. K. TRIPATHY
12 A Survey on Learning Models with Respect to Human Behavior Analysis
for Large-Scale Surveillance Videos .........................................................................301
M. SIVARATHINABALA, S. ABIRAMI, AND R. BASKARAN
13 Mining Unstructured Big Data for Competitive Intelligence and Business
Intelligence ...............................................................................................................327
ANASS EL HADDADI, AMINE EL HADDADI, ZAKARIA BOULOUARD,
FADWA BOUHAFER, NIHAL CHOUATI, ABDELHADI FENNAN,
AND BERNARD DOUSSET
Index .................................................................................................................................349
Editors
Vijayan Sugumaran is a professor of management information systems
and the chair of the Department of Decision and Information Sciences at
Oakland University, Rochester, Michigan, USA. He is also a WCU visit-
ing professor at Sogang University, Seoul, South Korea. He received his
PhD in information technology from George Mason University, Fairfax,
Virginia, USA. His research interests are in the areas of Big Data man-
agement and analytics, ontologies, and semantic web, intelligent agent,
and multiagent systems, and component-based software development. He
has published more than 150 peer-reviewed articles in journals, confer-
ences, and books. He has edited 12 books and serves on the editorial board of eight journals.
He has published in top-tier journals, such as Information Systems Research, ACM Transactions on
Database Systems, Communications of the ACM, IEEE Transactions on Big Data, IEEE Transactions
on Engineering Management, IEEE Transactions on Education, IEEE Software, and Healthcare
Management Science. Dr. Sugumaran is the editor-in-chief of the International Journal of Intelligent
Information Technologies. He is the chair of the intelligent agent and multiagent systems mini-
track for the Americas Conference on Information Systems (AMCIS 1999–2016). Dr. Sugumaran
served as the chair of the information technology committee for the Decision Sciences Institute.
He has served as the program co-chair for the 14th Workshop on E-Business (WeB2015) as well
as the International Conference on Applications of Natural Language to Information Systems
(NLDB 2008, NLDB 2013, and NLDB 2016). He also regularly serves as a program committee
member for numerous national and international conferences.
Arun Kumar Sangaiah received his M Eng in computer science and engi-
neering from the Government College of Engineering, Tirunelveli, Anna
University, India. He received his PhD in computer science and engineer-
ing from the VIT University, Vellore, India. He is presently working as
an associate professor in the school of computer science and engineering,
VIT University, India. His areas of interest include software engineer-
ing, computational intelligence, wireless networks, bio-informatics, and
embedded systems. He has authored more than 100 publications in dif-
ferent journals and conferences of national and international repute. In addition, he is an editorial
board member/associate editor of various international journals. In addition, he has edited a num-
ber of guest editorial special issues for various journals, including Applied Soft Computing (SCI),
Computers and Electrical Engineering (SCI), Future Generation Computer Systems (SCI), Engineering
Applications of Artificial Intelligence (SCI), Neural Network World (SCI), Intelligent Automation
& Soft Computing (SCI), and Scientific World Journal (SCI). Also, he has organized a number of
vii
viii ◾ Editors
special issues for Elsevier, Inderscience, Springer, Hindawi, and IGI publishers. He has acted as a
book volume editor for various publishers including Taylor & Francis Group, Springer, and IGI.
Arunkumar Thangavelu is currently associated with Vellore Institute
of Technology University as a senior professor and as the dean of the
School of Computer Science and Engineering. He has more than 21 years
of academic and R&D experience in industries. He has managed and
initiated multiple international-level projects, including QoS for WiFi
forum. He is an active consultant in R&D planning and proposal evalu-
ation as well project guidance and review of PG projects and PhD works.
Dr. Arunkumar Thangavelu’s area of research interest focuses on soft
computing algorithms, ad hoc high-performance networking (MANET/
VANET/PANET), Big Data, data mining/analysis, ambient intelligence,
and aspect-based network management, which includes mobile, context-aware middleware. He
has published multiple papers in international conferences and journals. He has served as the
chair and a committee member as well as an editorial board member for international journals and
international conferences. He plays an active role in IEEE/ACM and CSI professional bodies and
also works toward the upliftment of society and rural people development.
Contributors
S. Abirami received her PhD in the area of document imaging from Anna University, Chennai.
Currently, she is working as an assistant professor in the Department of Information Science and
Technology, Anna University, Chennai. She has more than 10 years of research experience. She
has authored more than 90 research publications in international journals and conferences and
two book chapters. She has mentored many sponsored research projects from Amazon, Tamil
Virtual University, and the Center for Technology and Development. Her current research area
focuses upon the use of machine learning, data mining, computational intelligence, and video
analytics.
R. Baskaran received his PhD in computer science and engineering from Anna University,
Chennai. Currently, he is working as associate professor in the Department of Computer Science
and Engineering, Anna University, Chennai. He has more than 13 years of research experience.
He has served as an editorial board member and technical program committee member for reputed
journals and conferences. He has received the IBM Best Faculty Award, Shiksha Ratan Purashkar,
and Certificate of Excellence in the year 2011. He has authored more than 155 research papers
in international journals and conferences. His research interests include artificial intelligence,
robotics, video analytics, and data mining.
Dr. Siddhartha Bhattacharyya received the BS degree in physics, the BS degree in optics and
optoelectronics, and the MS degree in optics and optoelectronics from the University of Calcutta,
India in 1995, 1998, and 2000, respectively. He completed his PhD degree in computer science
and engineering from Jadavpur University, India in 2008. He is the recipient of the University
Gold Medal from the University of Calcutta for his MS degree. He is the recipient of the cov-
eted National Award Adarsh Vidya Saraswati Rashtriya Puraskar for excellence in education and
research in 2016. He is also the recipient of the Distinguished HoD Award and Distinguished
Professor Award conferred by the Computer Society of India, Mumbai Chapter, India in 2017.
He is currently the professor of information technology of RCC Institute of Information
Technology, Kolkata, India. In addition, he is serving as the Dean (Research and Development
and Academic Affairs) of the institute. He served as the head of the department from March 2014
to December 2016. Prior to this, he was an associate professor of information technology of RCC
Institute of Information Technology, Kolkata, India from 2011 to 2014. Before that, he served as
an assistant professor in computer science and information technology of the University Institute
of Technology, The University of Burdwan, India from 2005 to 2011. He was a lecturer in infor-
mation technology of Kalyani Government Engineering College, India during 2001–2005. He
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Description: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 applicat