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Jeyanthi, P. Mary
Dr. Thipendra Pal Singh is currently positioned as Professor and Head of Department of Department at School of Computer Science, University of Petroleum & Energy Studies, Dehradun, UK. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 22 years of rich experience with him. He has been associated with Tata Group and Sharda University, Greater Noida, NCR, India. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. He has guided 15 Masters Theses. Currently 05 research scholars are working towards their Doctoral degree under him. There are more than dozens of publications to his credit in various national and international journals. Dr. Singh is a member of various professional bodies including IEEE, ISTE, IAENG etc. and also on the editorial/reviewer panel of different journals.
Sheikh Abujar is Lecturer in the Department of Computer Science and Engineering, Independent University, Bangladesh (IUB). Broadly, his methodological research focuses on Application of machine learning and Data mining. Sheikh Abujar currently works on different areas of Natural Language Processing and Adaptive algorithms. He has published his research works in several Scopus Indexed proceedings of IEEE, Springer and Elsevier, and he has served on several International conference and journals as a reviewer. Many of his and his students research work have won “Best Research Paper - Award” in many International Conferences. Prior to joining IUB, he was a faculty member at Daffodil International University (from : September 2017- January 2021) and at Britannia University (from: February 2015 to August 2017). During his career at DIU, he was Founder and Supervisor of the DIU - NLP and Machine Learning Research LAB.Decision Intelligence Analytics and the Implementation of Strategic Business Management
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance.
Decision Intelligence Analytics and the Implementation of Strategic Business Management
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance.
Decision Intelligence Analytics and the Implementation of Strategic Business Management
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance.