Advances in Machine Learning and Data Science: Recent Achievements and Research Directives

Author:   Damodar Reddy Edla ,  Pawan Lingras ,  Venkatanareshbabu K.
Publisher:   Springer Verlag, Singapore
Edition:   2018 ed.
Volume:   705
ISBN:  

9789811085680


Pages:   380
Publication Date:   17 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advances in Machine Learning and Data Science: Recent Achievements and Research Directives


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Author:   Damodar Reddy Edla ,  Pawan Lingras ,  Venkatanareshbabu K.
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   2018 ed.
Volume:   705
Weight:   5.913kg
ISBN:  

9789811085680


ISBN 10:   9811085684
Pages:   380
Publication Date:   17 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Damodar Reddy Edla is Assistant Professor and Head in Department of Computer Science & Engineering, National Institute of Technology Goa, India. His research interests include Data Mining and Wireless Sensor Networks. He has completed his doctorate from Indian School of Mines, Dhanbad, India, in 2013. He has published more than 35 research papers in national and international journals and conference proceedings. He is editorial board member of 5 International journals.     Pawan Lingras is a graduate of IIT Bombay with graduate studies from University of Regina. He is currently a Professor and Director of Computing and Data Analytics at Saint Marys University, Halifax. He is also internationally active having served as a visiting professor at Munich University of Applied Sciences, IIT Gandhinagar, as a research supervisor at Institut Superieur de Gestion de Tunis, as a Scholar-in-Residence, and as a Shastri Indo-Canadian scholar. He has deliveredmore than 35 invited talks at various institutions around the world. He has authored more than 200 research papers in various international journals and conferences.  He has also co-authored three textbooks, and co-edited two books and eight volumes of research papers. His academic collaborations/co-authors include academics from Canada, Chile, China, Germany, India, Poland, Tunisia, U.K. and USA. His areas of interests include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. He has served as the general co-chair, program co-chair, review committee chair, program committee member, and reviewer for various international conferences on artificial intelligence and data mining. He is also on editorial boards of a number of international journals. His research has been supported by Natural Science and Engineering Research Council (NSERC) of Canada for twenty-five years, as well as other funding agencies including NRC-IRAP and MITACS. He also served on the NSERC’s Computer Science peer review committee. He has been awarded an Alumni association excellence in teaching award, Student union’s faculty of science teaching award, and President’s award for excellence in research at Saint Mary’s University.  Venkatanareshbabu Kuppili is with the Machine Learning Group, Department of Computer Science and Engineering, National Institute of Technology Goa, India, where he is currently an Assistant Professor. He obtained doctoral degree from Indian Institute of Technology Delhi in 2014. He was with Evalueserve Pvt. Ltd., as a Senior Research Associate in 2009. He has been a Visiting Scientist with the Global Medical Technologies, California in 2017. He has been the Principal Investigator of many sponsored research and consultancy research projects in the field of neural networks and machine learning. He is also actively involved in teaching and project coordination for the Graduate and Post Graduate Program in Computer Science and Engineering Department at the National Institute of Technology Goa. He has authored a number of research papers published in reputed international journals in the area of neural networks, classification, and clustering.  

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