Intelligent Multidimensional Data Clustering and Analysis by Siddhartha Bhattacharyya
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.-
Emerging Methods in Predictive Analytics
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Innovative Techniques and Applications of Entity Resolution
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Graph Data Management
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Data Mining and Analysis in the Engineering Field
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XML Data Mining
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Design, Performance, and Analysis of Innovative Information Retrieval
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Intelligent Techniques for Data Analysis in Diverse Settings
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Handbook of Research on Big Data Management and Applications
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Data Mining Trends and Applications in Criminal Science and Investigations
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Web Usage Mining Techniques and Applications Across Industries
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Collaborative Filtering Using Data Mining and Analysis
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Social Media Data Extraction and Content Analysis
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Mobile Technologies for Activity-Travel Data Collection and Analysis
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Web Semantics for Textual and Visual Information Retrieval
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Knowledge Discovery Practices and Emerging Applications of Data Mining
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Emerging Trends in the Development and Application of Composite Indicators
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Web Data Mining and the Development of Knowledge-Based Decision Support Systems
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Data Mining in Public and Private Sectors
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Innovative Document Summarization Techniques
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Data Science and Simulation in Transportation Research
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Data Visualization and Statistical Literacy for Open and Big Data
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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
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Data Mining in Dynamic Social Networks and Fuzzy Systems
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Advancing Cloud Database Systems and Capacity Planning with Dynamic Applications
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Innovative Approaches of Data Visualization and Visual Analytics
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Advanced Database Query Systems
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Exploring the Convergence of Big Data and the Internet of Things
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Text Mining Techniques for Healthcare Provider Quality Determination
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Big Data Management, Technologies, and Applications
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Ethical Data Mining Applications for Socio-Economic Development
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Managing and Processing Big Data in Cloud Computing
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Handbook of Research on Innovative Database Query Processing Techniques
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Knowledge-Driven Human-Centric Intelligence
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Recent Trends in Intelligence Enabled Research
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Intelligent Quantum Information Processing
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Hybrid Machine Intelligence for Medical Image Analysis
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Intelligence Enabled Research
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Confluence of Artificial Intelligence and Robotic Process Automation
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Hybrid Computational Intelligence
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Intelligent Human Centered Computing
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Soft Computing for Image and Multimedia Data Processing
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Recent Trends in Signal and Image Processing
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Hybrid Metaheuristics for Image Analysis
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Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications
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International Conference on Innovative Computing and Communications
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Recent Trends in Computational Intelligence Enabled Research
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Cognitive Data Models for Sustainable Environment
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Hybrid Soft Computing Approaches
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Intelligent Innovations in Multimedia Data Engineering and Management
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Contemporary Developments in High-Frequency Photonic Devices
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HYBRID METAHEURISTICS: RESEARCH AND APPLICATIONS
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Hybrid Soft Computing for Image Segmentation
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Hybrid Intelligent Techniques for Pattern Analysis and Understanding
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Intelligent Analysis of Multimedia Information
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International Conference on Intelligent and Smart Computing in Data Analytics
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Strategic Approaches for Conflict Resolution in Organizations: Emerging Research and Opportunities
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Handbook of Research on Swarm Intelligence in Engineering
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Quantum-Inspired Intelligent Systems for Multimedia Data Analysis
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Handbook of Research on Recent Developments in Intelligent Communication Application
Siddhartha Bhattacharyya [LFOSI, FIETE, FIEI, SMIEEE, SMIETI, SMACM, LMCRSI, LMCSI, LMISTE, LMIUPRAI, LMCEGR, MIET (UK), MIRSS, MIAENG, MCSTA, MIAASSE, MIDES, MISSIP, MSDIWC] received his Bachelors in Physics & Optics and Optoelectronics and Masters in Optics and Optoelectronics from the University of Calcutta, India in 1995, 1998 and 2000 respectively, and completed his Ph.D. in Computer Science and Engineering from Jadavpur University, India in 2008. He is currently a Senior Research Scientist at VSB Technical University of Ostrava, Czech Republic, and is also the Principal of the RCC Institute of Information Technology, Kolkata, India. He is co-author of 4 and co-editor of 20 books, and has published over 200 research papers in international journals and conference proceedings. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing.
Sankar K. Pal, a Distinguished Scientist and former Director of Indian Statistical Institute, is currently an INSA Distinguished Professor Chair. He is an alumnus of Calcutta University; the Indian Statistical Institute; and Imperial College, London. He has worked at NASA Johnson Space Center, Houston; the University of California, Berkeley; University of Maryland, College Park; and US-Naval Research Lab, Washington DC. He is an IEEE-CS Distinguished Visitor for the Asia-Pacific region, and has visited 45 countries as a keynote/invited speaker or an academic visitor. He is a fellow of TWAS (The World Academy of Sciences), IEEE, IAPR, IFSA, IRSS, and all four Indian science/engineering academies; He has received various honors, including the highly coveted S.S. Bhatnagar Prize (science award) and Padma Shri (civilian award) in India, and the Khwarizmi International Award in Iran. He is co-author of 20 books, and over 400 publications on pattern recognition, machine intelligence, soft computing, granular mining and big data. He has served on the editorial boards of more than 20 international journals, including IEEE Transactions.
Indrajit Pan completed his B.E. in CSE with Honors at The University of Burdwan in 2005, M.Tech. in IT at Bengal Engineering and Science University, Shibpur in 2009, and his Ph.D. (Engineering) from IIEST, Shibpur in 2015. His research interests include social network analysis and cloud computing. Indrajit is now an Associate Professor at the Information Technology Department at RCC Institute of Information Technology, Kolkata. He has published about thirty research papers internationally, as well as a number of edited volumes. Indrajit is a senior member of IEEE, USA and a member of ACM, USA and CSI.
Abhijit Das received his B.Tech. in IT from the University of Kalyani in 2003, M.Tech. in IT from the University of Calcutta in 2005 and Ph.D. (Engineering) from the Department of CSE, Jadavpur University in 2016. He has over 15 years of teaching and research experience and has published more than more 30 high-quality papers internationally. He is currently an Associate Professor at the Department of IT, RCC Institute of Information Technology, Kolkata, India, and is guiding 4 research scholars.
| SKU | Unavailable |
| ISBN 13 | 9781522517764 |
| ISBN 10 | 1522517766 |
| Title | Intelligent Multidimensional Data Clustering and Analysis |
| Author | Siddhartha Bhattacharyya |
| Series | Advances In Data Mining And Database Management |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | IGI Global |
| Year published | 2016-11-04 |
| Number of pages | 436 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |