Sugumaran / Sangaiah / Thangavelu Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Erscheinungsjahr 2017
ISBN: 978-1-351-72025-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 378 Seiten

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.

Autoren/Hrsg.

Sugumaran, Vijayan

Sangaiah, Arun Kumar

Thangavelu, Arunkumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Introduction. State of the Art in Computational Intelligence (CI). Overview of Soft Computing (SC) Techniques. Recent Trends and Applications of CI in Different Domains. Computational Intelligence (CI) and Business Intelligence (BI). Foundations of BI and Role of CI in BI. Fuzzy Logic and BI. Neural Networks, Rough Sets, and BI. Optimization Algorithms for BI. Fuzzy Decision Making and BI. Evolving Neuro and Fuzzy systems for Predictive Analysis of BI. Computational Intelligence (CI) and Big Data Analytics (BDA). Introduction to Big Data and the role of CI in BDA. Analytical Modeling & Simulation for Big Data. Application of Neural Networks, Fuzzy Logic, Evolutionary Computing and Swarm Intelligence in Big Data Analytics. Adaptive and Evolving Learning Methodologies for Big Data Analysis. CI and Big Data Visualization and Analysis. Big Data Mining Techniques, Frameworks, and Solutions. Integrating CI and Big Data Analysis through Open Source Tools. Design and Architecture of Big Data Solutions. Intelligent Systems and Big Data Analytics. Privacy, Security, Trust and Ethical Issues in Big Data Management and Analytics. Case Studies and Applications. Case Studies/Real World Applications of CI in BI. Case Studies/Real World Applications of CI in Big Data Analytics.

Über Autor(innen)

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.