The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
Autorentext
Valentina E. Balas is currently Associate Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University Aurel Vlaicu Arad (Romania).She holds a PhD in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. She is author of more than 160 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Board member of several national and international journals and is evaluator expert for national and international projects. She is a member of EUSFLAT, ACM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS) and also a member in IFAC - TC 3.2 Computational Intelligence in Control.
Dr. Neha Sharma is currently Professor at Adhyogik Tantra Shikshan Sanstha's, Institute of Industrial and Computer Management and Research (IICMR), Pune, Maharashtra, India. She has completed her PhD from the prestigious Indian School of Mines, Dhanbad. She is a Student Avtivity Committee Chair for IEEE Pune Section. She has organized several national and international conferences and seminars and is a Chief Editor for the international journal International Journal of Advances in Computing and Management. She has published several papers in reputed indexed journals. She has 13 years of teaching experience and 5 years of industrial experience. Her areas of research interest include Data Mining, Database Design, Analysis and Design, Artificial intelligence, Software Engineering and Metadata. Dr. Amlan Chakrabarti is Professor and Coordinator at the A.K.Choudhury School of Information Technology, University of Calcutta, India. He has done his Doctoral research on Quantum Computing and related VLSI design at Indian Statistical Institute, Kolkata, 2004-2008. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He is the recipient of BOYSCAST fellowship award from the Department of Science and Technology, Government of India in 2011 and Indian National Science Academy Visiting Scientist Fellowship in 2014. He has published around 80 research papers in refereed journals and conferences. He is a Sr. Member of IEEE, Member of ACM and life member of Computer Society of India. He has been the reviewer of IEEE Transactions on Computers, IET Computers & Digital Techniques, Simulation Modeling Practice and Theory, Journal of Electronic Testing: Theory and Applications. His research interests are: Quantum Computing, VLSI design, Embedded System Design, Video and Image Processing Algorithms and pattern recognition.
Klappentext
The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
Inhalt
An empirical study of website personalization effect on users intention to revisit ecommerce website through cognitive and hedonic experience.- Hierarchical Summarization of Text Documents using Topic Modeling and Formal Concept Analysis.- Green Information and Communication Technology Techniques in Higher Technical Education Institutions for Future Sustainability.- Comparative Study of Different Similarity Metrics in Highly Sparse Rating Dataset.- Multi-Document Summarization & Opinion Mining Using Stack Decoder Method and Neural Networks.- Data mining technology with fuzzy logic, neural networks and machine learning for agriculture.- 6-Tier Design Framework for Smart Solution as a Service (SSaaS) using Big Data.