TY  - GEN
AB  - This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.
AU  - Li, Gang
AU  - Shen, Heng Tao.
AU  - Yuan, Ye.
AU  - Wang, Xiaoyang.
AU  - Liu, Huawen.
AU  - Zhao, Xiang.
CN  - SpringerLink
CN  - QA76.76.E95
CY  - Cham :
DA  - 2020.
DO  - 10.1007/978-3-030-55130-8
DO  - doi
ID  - 944367
KW  - Knowledge acquisition (Expert systems)
KW  - Knowledge management
KW  - Decision making
KW  - Problem solving
KW  - Information technology
KW  - Data mining
LK  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-3-030-55130-8
N1  - International conference proceedings.
N1  - "The conference was held virtually due to the COVID-19 pandemic."
N1  - Includes author index.
N2  - This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning. *The conference was held virtually due to the COVID-19 pandemic.
PB  - Springer,
PP  - Cham :
PY  - 2020.
SN  - 9783030551308
SN  - 303055130X
T1  - Knowledge science, engineering and management :13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings.
TI  - Knowledge science, engineering and management :13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings.
UR  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-3-030-55130-8
VL  - 12274
ER  -