"This book explores evolutionary computation in information retrieval, bio and nature inspired computing and information retrieval, and human centric and behavior based computing. It also aims that the theoretical concepts and real life problems to be covered will facilitate researchers to understand most of the recent trends of bio-inspired computing in information retrieval to pursue further research"--
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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.
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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents 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, an. Bestandsnummer des Verkäufers 448010326
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Buch. Zustand: Neu. Bio-Inspired Computing for Information Retrieval Applications | D. P. Acharjya (u. a.) | Buch | Gebunden | Englisch | 2017 | Information Science Reference | EAN 9781522523758 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 108475138
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781522523758
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