Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.
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Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is currently the Professor and Head of Information Technology of RCC Institute of Information Technology, Kolkata, India. In addition, he is serving as the Dean of Research and Development of the institute from November 2013. He is a co-author of 3 books and the co-editor of 4 books and has more than 145 research publications in international journals and conference proceedings to his credit. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing.
Sourav De did his Bachelors in Information Technology from The University of Burdwan, Burdwan, India in 2002. He did his Masters in Information Technology from West Bengal University of Technology, Kolkata, India in 2005. He completed PhD in Computer Science and Technology from Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science and Engineering in Cooch Behar Government Engineering College, West Bengal. He has more than about 20 research publications in internationally reputed journals, international edited books and international IEEE conferences. His research interests include soft computing, pattern recognition, image processing and data mining.
Indrajit Pan has done his B.E. in Computer Science and Engineering with Honors from The University of Burdwan in 2005, M. Tech. in Information Technology from Bengal Engineering and Science University, Shibpur in 2009 and Ph.D. (Engg.) from Indian Institute of Engineering Science and Technology, Shibpur in 2015. He is the recipient of BESU, University Medal for securing First rank in M. Tech. (IT). He has couple of National and International level research publications and Book Chapters to his credit. He has attended several International Conferences, National level Faculty development programs, workshops and symposiums. Indrajit is a Member of Institute of Electrical and Electronics Engineers (IEEE), USA and Association for Computing Machinery (ACM), USA.
Paramartha Dutta, born 1966, did his Bachelors and Masters in Statistics from the Indian Statistical Institute, Calcutta in the years 1988 and 1990 respectively. He afterwards completed his Master of Technology in Computer science from the same Institute in the year 1993 and Doctor of Philosophy in Engineering from the Bengal Engineering and Science University, Shibpur in 2005 respectively. He has served in the capacity of research personnel in various projects funded by Govt. of India, which include DRDO, CSIR, Indian Statistical Institute, Calcutta etc. Dr. Dutta is now a Professor in the Department of Computer and System Sciences of the Visva Bharati University, West Bengal, India. Prior to this, he served Kalyani Government Engineering College and College of Engineering in West Bengal as full time faculty members. He has coauthored eight books and has also five edited book to his credit. He has published about hundred eighty-five papers in various journals and conference proceedings, both international and national as well as several book chapters in edited volumes of reputed International publishing house like Elsevier, Springer-Verlag, CRC Press, John Wiley to name a few.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets. Seller Inventory # 9781522517764
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