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Record Nr. |
UNINA9910349414903321 |
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Titolo |
Knowledge Science, Engineering and Management : 11th International Conference, KSEM 2018, Changchun, China, August 17–19, 2018, Proceedings, Part II / / edited by Weiru Liu, Fausto Giunchiglia, Bo Yang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIX, 492 p. 135 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 11062 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Application software |
Database management |
Computer communication systems |
Data mining |
Artificial Intelligence |
Computer Appl. in Social and Behavioral Sciences |
Database Management |
Information Systems Applications (incl. Internet) |
Computer Communication Networks |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Constraints and Satisfiability -- Formal Reasoning and Ontologies -- Deep Learning -- Network Knowledge Representation and Learning -- Social Knowledge Analysis and Management. |
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Sommario/riassunto |
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This two volume set of LNAI 11061 and LNAI 11062 constitutes the refereed proceedings of the 11th International Conference on Knowledge Science, Engineering and Management, KSEM 2018, held in Changchun, China, in August 2018. The 62 revised full papers and 26 short papers presented were carefully reviewed and selected from 262 submissions. The papers of the first volume are organized in the following topical sections: text mining and document analysis; image |
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and video data analysis; data processing and data mining; recommendation algorithms and systems; probabilistic models and applications; knowledge engineering applications; and knowledge graph and knowledge management. The papers of the second volume are organized in the following topical sections: constraints and satisfiability; formal reasoning and ontologies; deep learning; network knowledge representation and learning; and social knowledge analysis and management. |
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