TY  - GEN
N2  - This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20-21 September 2019.
DO  - 10.1007/978-981-15-3
AB  - This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the 2nd International Conference on Decision Science and Management (ICDSM 2019), held at Hunan International Economics University, China, on 20-21 September 2019.
T1  - Recent trends in decision science and management :proceedings of ICDSM 2019 /
DA  - 2020.
CY  - Singapore :
AU  - Wang, Tao-Sheng.
AU  - Ip, Andrew W. H.
AU  - Tavana, Madjid,
AU  - Jain, Vipul.
VL  - 1142
CN  - HD30.23
PB  - Springer,
PP  - Singapore :
PY  - 2020.
N1  - International conference proceedings.
ID  - 932789
KW  - Decision making
KW  - Big data
KW  - Knowledge management
SN  - 9789811535888
SN  - 9811535884
TI  - Recent trends in decision science and management :proceedings of ICDSM 2019 /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-3588-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-3588-8
ER  -