TY  - GEN
N2  - This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
DO  - 10.1007/978-3-030-82136-4
DO  - doi
AB  - This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021. The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.
T1  - Knowledge science, engineering and management :14th international conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, proceedings.
AU  - Qiu, Han,
AU  - Zhang, Cheng,
AU  - Fei, Zongming,
AU  - Qiu, Meikang,
AU  - Kung, S. Y.
VL  - 12815
CN  - QA76.76.E95
N1  - Includes author index.
ID  - 1438907
KW  - Knowledge acquisition (Expert systems)
KW  - Knowledge management
KW  - Decision making
KW  - Problem solving
KW  - Information technology
KW  - Data mining
KW  - Gestion des connaissances
KW  - Prise de décision
KW  - Technologie de l'information
KW  - Exploration de données (Informatique)
SN  - 9783030821364
SN  - 3030821366
SN  - 9783030821531
SN  - 3030821536
SN  - 9783030821470
SN  - 3030821471
TI  - Knowledge science, engineering and management :14th international conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82136-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82136-4
ER  -