Handbook of Research on Computational Intelligence Applications in Bioinformatics
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Handbook of Research on Computational Intelligence Applications in Bioinformatics

Sujata Dash, Bidyadhar Subudhi
Indexed In: SCOPUS View 1 More Indices
Release Date: June, 2016|Copyright: © 2016 |Pages: 514
DOI: 10.4018/978-1-5225-0427-6
ISBN13: 9781522504276|ISBN10: 1522504273|EISBN13: 9781522504283
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Description & Coverage
Description:

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings.

The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.

Coverage:

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

  • Artificial Intelligence
  • Big Data
  • Bio-inspired Algorithms
  • Data Mining
  • Genomics
  • Microarray Data
  • Protein Interactions
  • Rough Sets
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Editor/Author Biographies
Sujata Dash received her Ph.D. degree in Computational Modelling from Berhampur University, Orissa, India in 1995. She is an Associate Professor in P.G. Department of Computer Science & Application, North Orissa University, at Baripada, India. She has published more than 80 technical papers in international journals, conferences and book chapters of reputed publications. She has guided many scholars for their Ph.D degrees in computer science. She is associated with many professional bodies like the CSI, the ISTE, the OITS, the OMS, the IACSIT, the IMS and the IAENG. She is on the editorial board of several international journals and also a reviewer of many international journals. Her current research interests include Machine Learning, Distributed Data Mining, Bioinformatics, Intelligent Agent, Web Data Mining, Image Processing and Cloud Computing.
Bidyadhar Subudhi received a Bachelor’s Degree in Electrical Engineering from the National Institute of Technology (NIT), Rourkela, India, Master of Technology in Control & Instrumentation from Indian Institute of Technology, Delhi in 1988 and 1994 respectively and PhD degree in Control System Engineering from Univ. of Sheffield in 2003. He was a postdoctoral research fellow in the Dept. of Electrical & Computer Engg., NUS, Singapore during May-Nov 2005. Currently, he is a professor in the Department of Electrical Engineering at NIT Rourkela and coordinator, centre of excellence on renewable energy systems. He is a Senior Member of the IEEE and a Fellow of the IET. His research interests include system identification & adaptive control, networked control systems, control of flexible and under water robots, estimation and filtering with application to power system and control of renewable energy systems.
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