TY - GEN N2 - The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6-7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems. DO - 10.1007/978-981-19-6004-8 DO - doi AB - The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6-7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems. T1 - Data intelligence and cognitive informatics :proceedings of ICDICI 2022 / AU - Jacob, I. Jeena, AU - Kolandapalayam Shanmugam, Selvanayaki, AU - Izonin, Ivan, CN - Q342 N1 - Includes author index. ID - 1453500 KW - Computational intelligence KW - Data mining SN - 9789811960048 SN - 9811960046 TI - Data intelligence and cognitive informatics :proceedings of ICDICI 2022 / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6004-8 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-6004-8 ER -