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 volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20-22 January, 2023 in Pune, India. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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  - 10.1007/978-981-99-1414-2
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 volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20-22 January, 2023 in Pune, India. 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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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 2023 /
AU  - Sharma, Neha
AU  - Goje, Amol,
AU  - Chakrabarti, Amlan,
AU  - Bruckstein, Alfred,
VL  - volume 662
CN  - QA76.9.D3
N1  - Includes author index.
ID  - 1468380
KW  - Database management
KW  - Artificial intelligence
SN  - 9789819914142
SN  - 9819914140
TI  - Data management, analytics and innovation :proceedings of ICDMAI 2023 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1414-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-1414-2
ER  -