Home > Books > Book
Book Citation Index

Bio-Inspired Computing for Information Retrieval Applications

D.P. Acharjya (School of Computing Science and Engineering, VIT University, India) and Anirban Mitra (Vignan Institute of Technology and Management, India)
Indexed In: SCOPUS View 2 More Indices
Release Date: February, 2017 | Copyright: © 2017 | Pages: 388

Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9781522523758
EISBN13: 9781522523765
DOI: 10.4018/978-1-5225-2375-8

Description:

The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available.

Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Coverage:

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

  • Data Processing
  • Evolutionary Computation
  • Gene Expression Data
  • Rehabilitation Engineering
  • Swarm-Based Clustering
  • Text Summarization
  • Web Crawling

Search this Book:
Reset

D. P. Acharjya received his PhD in computer science from Berhampur University, India. He has been awarded with Gold Medal in M. Sc. from NIT, Rourkela. Currently he is working as a Professor in the School of Computing Science and Engineering, VIT University, Vellore, India. He has authored many national and international journal papers, book chapters, and five books to his credit. Additionally he has edited four books to his credit. He is reviewer of many international journals such as Fuzzy Sets and Systems, Knowledge Based Systems, and Applied Soft Computing. He has been awarded with Gold Medal from NIT, Rourkela; Eminent Academician Award from Khallikote Sanskrutika Parisad, Berhampur, Odisha; and Outstanding Educator and Scholar Award from National Foundation for Entrepreneurship Development, Coimbatore. Dr. Acharjya is actively associated with many professional bodies like 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, bio-inspired computing, and business intelligence.
Anirban Mitra is presently associated with VITAM, Berhampur as Associate Professor and Head in the Department of Computer Science & Engineering. He has authored around 40 national and international journal/conference papers and few book chapters to his credit. He is in technical review committee of near about 8 reputed conferences and journals. Now, he is handling Industrial projects as a honorary consultant and also associated with a funded research project at I.I.T. Kharagpur. He has 8 years plus of regular experience which also includes teaching- as visiting faculty at Khallikote Govt. (Auto.) College and Berhampur University, academic guide, research and handling administrative responsibilities like as a regular Examiner for UG and PG courses. His present research field are Rough sets, Knowledge Representation, Social Network, Data Mining and Graph Mining.

All IGI Global Scientific Publishing content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global Scientific Publishing published content is available in the IGI Global Scientific Publishing InfoSci® platform.

We are committed to continually improving our platform to meet WCAG standards. We have used automated scans as well as manual review to identify and resolve compatibility issues. Our goal is to ensure all of our content is easily accessible to all users.

  • Current Accessibility Implementations
  • Screen reader compatible web pages with properly labeled elements.
  • Text alternatives for non-text content so it can be changed into large print, braille, speech, symbols, or simpler language.
  • User interface can be navigated using only a keyboard - no keyboard traps.
  • Consistent navigation on all web pages.
  • Meaningful section heading are used to organize content in a logical manner.
  • Logical focus order of elements on each web page.
  • No web pages contain any flashing, or design elements that are known to cause seizures or physical reactions.
  • Text has high contrast, with a contrast ratio of at least 4.5:1.
  • Responsive design, with text that can be resized without loss of content or functionality.
Learn More