TY  - GEN
AB  - Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
AU  - Pedrycz, Witold,
AU  - Martínez, Luis,
AU  - Espin Andrade, Rafael Alejandro,
AU  - Rivera, Gilberto,
AU  - Gómez, Jorge Marx,
CN  - Q342
DO  - 10.1007/978-3-030-73819-8
DO  - doi
ID  - 1440648
KW  - Computational intelligence.
KW  - Business
KW  - Intelligence informatique.
KW  - Gestion
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-73819-8
N2  - Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.
SN  - 9783030738198
SN  - 3030738191
T1  - Computational intelligence for business analytics /
TI  - Computational intelligence for business analytics /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-73819-8
VL  - volume 953
ER  -