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EBX01000000000000001010676 |
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180901 ||| eng |
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|a 9783319993652
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| 100 |
1 |
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|a Liu, Weiru
|e [editor]
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| 245 |
0 |
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|a Knowledge Science, Engineering and Management
|h Elektronische Ressource
|b 11th International Conference, KSEM 2018, Changchun, China, August 17–19, 2018, Proceedings, Part I
|c edited by Weiru Liu, Fausto Giunchiglia, Bo Yang
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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| 300 |
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|a XXIV, 526 p. 159 illus
|b online resource
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| 505 |
0 |
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|a 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 -- Knowledge Graph and Knowledge Management
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| 653 |
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|a Computer Application in Social and Behavioral Sciences
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| 653 |
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|a Information Storage and Retrieval
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Social sciences / Data processing
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| 653 |
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|a Data mining
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| 653 |
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|a Application software
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| 653 |
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|a Information storage and retrieval systems
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
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|a Natural Language Processing (NLP)
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Natural language processing (Computer science)
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| 700 |
1 |
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|a Giunchiglia, Fausto
|e [editor]
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| 700 |
1 |
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|a Yang, Bo
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Artificial Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-3-319-99365-2
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-99365-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a 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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