TY - GEN N2 - This book presents the latest findings in the areas of data management and smart computing, 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 Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 1416, 2022. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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 - 10.1007/978-981-19-2600-6 DO - doi AB - This book presents the latest findings in the areas of data management and smart computing, 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 Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 1416, 2022. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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 2022 / AU - Goswami, Saptarsi, AU - Barara, Inderjit Singh, AU - Goje, Amol, AU - Mohan, C., AU - Bruckstein, Alfred, VL - volume 137 CN - QA76.9.D3 N1 - International conference proceedings. N1 - Includes author index. ID - 1452976 KW - Database management KW - Artificial intelligence SN - 9789811926006 SN - 981192600X TI - Data management, analytics and innovation :proceedings of ICDMAI 2022 / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2600-6 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2600-6 ER -