TY - GEN N2 - This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. DO - 10.1007/978-981-16-2937-2 DO - doi AB - This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15-17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. T1 - Data management, analytics and innovation :proceedings of ICDMAI 2021. AU - Sharma, Neha, AU - Chakrabarti, Amlan, AU - Balas, Valentina Emilia, AU - Bruckstein, Alfred, VL - volume 71 CN - QA76.9.D3 N1 - International conference proceedings. N1 - Includes author index. ID - 1442297 KW - Database management KW - Quantitative research KW - Big data KW - Bases de données KW - Recherche quantitative KW - Données volumineuses SN - 9789811629372 SN - 9811629374 TI - Data management, analytics and innovation :proceedings of ICDMAI 2021. LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2937-2 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2937-2 ER -