TY  - GEN
N2  - The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 1113, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.
DO  - 10.1007/978-981-99-3878-0
DO  - doi
AB  - The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 1113, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.
T1  - Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 /
AU  - Chaki, Nabendu,
AU  - Roy, Nilanjana Dutta,
AU  - Debnath, Papiya,
AU  - Saeed, Khalid
VL  - volume 727
CN  - QA76.9.D343
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1472000
KW  - Data mining
KW  - Big data
SN  - 9789819938780
SN  - 9819938783
TI  - Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3878-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-3878-0
ER  -