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Machine Learning and Computational Intelligence Techniques for Data Engineering

Machine Learning and Computational Intelligence Techniques for Data Engineering


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About the Book


About the Author:

Dr. Pradeep Singh received a Ph.D. in Computer science and Engineering from the National Institute of Technology, Raipur, and an M.Tech. in Software engineering from the Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Singh is an Assistant Professor in the Computer Science & Engineering Department at the National Institute of Technology. He has over 15 years of experience in various government and reputed engineering institutes. He has published over 80 refereed articles in journals and conference proceedings. His current research interests areas are machine learning and evolutionary computing and empirical studies on software quality, and software fault prediction models.

Dr. Deepak Singh completed his Bachelor of Engineering from Pt. Ravi Shankar University, Raipur, India, in 2007. He earned his Master of Technology with honors from CSVTU Bhilai, India, in 2011. He received a Ph.D. degree from the Department of Computer Science and Engineering at the National Institute of Technology (NIT) in Raipur, India, in 2019. Dr. Singh is currently working as an Assistant Professor at the Department of Computer Science and Engineering, National Institute of Technology Raipur, India. He has over 8 years of teaching and research experience along with several publications in journals and conferences. His research interests include evolutionary computation, machine learning, domain adaptation, protein mining, and data mining.

Dr. Vivek Tiwari is a Professor in Charge of the Department of Data Science and AI and Faculty of Computer Science and Engineering at IIIT Naya Raipur, India. He received B.Eng. from the Rajiv Gandhi Technical University, Bhopal, in 2004 and M.Tech. from SATI, Vidisha (MP), in 2008. He obtained a Ph.D. degree from the National Institute of Technology, Bhopal (MA-NIT), India, in 2015 in data mining and warehousing. Dr. Tiwari has over 65 research papers, 2 edited books, and one international patent published to his credit. His current research interest is in machine/deep learning, data mining, pattern recognition, business analytics, and data warehousing.

Dr. Sanjay Misra, Sr. Member of IEEE and ACM Distinguished Lecturer, is Professor at Østfold University College (HIOF), Halden, Norway. Before coming to HIOF, he was Professor at Covenant University (400-500 ranked by THE (2019)) for 9 years. He holds a Ph.D. in Information & Knowledge Engineering (Software Engineering) from the University of Alcala, Spain, and an M.Tech. (Software Engineering) from MLN National Institute of Tech, India. Total around 600 articles (SCOPUS/WoS) with 500 co-authors worldwide (-130 JCR/SCIE) in the core & appl. area of Software Engineering, Web engineering, Health Informatics, Cybersecurity, Intelligent systems, AI, etc.


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Product Details
  • ISBN-13: 9789819900466
  • Publisher: Springer Nature Singapore
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Proceedings of the 4th International Conference Misp 2022, Volume 2
  • Width: 160 mm
  • ISBN-10: 9819900468
  • Publisher Date: 11 Jun 2023
  • Height: 238 mm
  • No of Pages: 896
  • Spine Width: 48 mm
  • Weight: 1703 gr


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Machine Learning and Computational Intelligence Techniques for Data Engineering
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