Global Trends in Intelligent Computing Research and Development
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Global Trends in Intelligent Computing Research and Development

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Release Date: December, 2013|Copyright: © 2014 |Pages: 601
DOI: 10.4018/978-1-4666-4936-1
ISBN13: 9781466649361|ISBN10: 1466649364|EISBN13: 9781466649378
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Description & Coverage
Description:

As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data.

Global Trends in Intelligent Computing Research and Development brings together recent advances and in depth knowledge in the fields of knowledge representation and computational intelligence. Highlighting the theoretical advances and their applications to real life problems, this book is an essential tool for researchers, lecturers, professors, students, and developers who have seek insight into knowledge representation and real life applications.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms for Knowledge Representation
  • Business Intelligence
  • Data Preprocessing
  • Engineering Science
  • Feature Selection/Instance
  • Knowledge discovery in databases
  • Outlier Detection
  • Rough-Fuzzy Computing
  • Swarm Intelligence
  • Theoretical Foundations
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Editor/Author Biographies
B. K. Tripathy a Senior Professor in the School of Computing Sciences and Engineering, VIT University, at Vellore, India. He has published more than 190 technical papers in various international journals, conferences, and book chapters and has guided 14 scholars for their Ph.D degrees in both mathematics and computer science. He is associated with many professional bodies like IEEE, ACEEE, ACM, IRSS, AISTC, ISTP, CSI, AMS, and IMS. He is in the editorial board of several international journals like CTA, ITTA, AMMS, IJCTE, AISS, AIT, and IJPS and is a reviewer of over 40 international journals like Mathematical Reviews, Information Sciences, Analysis of Neural Networks, Journal of Knowledge Engineering, Mathematical Communications, IEEE Transactions on Fuzzy Systems and Journal of Analysis. His research interest includes fuzzy sets and systems, rough sets and knowledge engineering, data clustering, soft computing, granular computing, theory of multisets, list theory, content based learning, remote laboratories and social networks.
D. P. Acharjya received his Ph. D in computer science from Berhampur University, India; M. Tech. degree in computer science from Utkal University, India in 2002; and M. Sc. from NIT, Rourkela, India. He has been awarded with Gold Medal in M. Sc. Currently he is an Associate Professor in the school of computing sciences and engineering, VIT University, Vellore, India. He has authored many national and international journal papers and five books; Fundamental Approach to Discrete Mathematics, Computer Based on Mathematics, Theory of Computation; Rough Set in Knowledge Representation and Granular Computing; Introduction to Information Technology and Computer Programming to his credit. He is associated with many professional bodies CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE and IAENG. He was founder secretary of OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing and business intelligence.
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