TY  - GEN
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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.
AU  - Goswami, Saptarsi,
AU  - Barara, Inderjit Singh,
AU  - Goje, Amol,
AU  - Mohan, C.,
AU  - Bruckstein, Alfred,
CN  - QA76.9.D3
DO  - 10.1007/978-981-19-2600-6
DO  - doi
ID  - 1452976
KW  - Database management
KW  - Artificial intelligence
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2600-6
N1  - International conference proceedings.
N1  - Includes author index.
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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.
SN  - 9789811926006
SN  - 981192600X
T1  - Data management, analytics and innovation :proceedings of ICDMAI 2022 /
TI  - Data management, analytics and innovation :proceedings of ICDMAI 2022 /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2600-6
VL  - volume 137
ER  -