Knowledge science, engineering and management : 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings. Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao (eds.). Part II /
"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 reviewe...
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| Main Authors: | , , , , , |
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| Corporate Author: | |
| Format: | Ebook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2020.
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| Series: | Lecture notes in computer science ;
12275. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Item Description: | International conference proceedings. "The conference was held virtually due to the COVID-19 pandemic.". Includes author index. |
| Physical Description: | 1 online resource (495 pages). |
| ISBN: | 3030553922 9783030553920 3030553930 9783030553937 |