Knowledge Science, Engineering and Management [electronic resource] : 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part II / edited by Weiru Liu, Fausto Giunchiglia, Bo Yang.
Contributor(s): Liu, Weiru [editor.] | Giunchiglia, Fausto [editor.] | Yang, Bo [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 11062Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIX, 492 p. 135 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319992471.Subject(s): Artificial intelligence | Social sciences -- Data processing | Database management | Application software | Computer networks | Data mining | Artificial Intelligence | Computer Application in Social and Behavioral Sciences | Database Management | Computer and Information Systems Applications | Computer Communication Networks | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineConstraints and Satisfiability -- Formal Reasoning and Ontologies -- Deep Learning -- Network Knowledge Representation and Learning -- Social Knowledge Analysis and Management.
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 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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