Knowledge Science, Engineering and Management 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Liu, Weiru (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Giunchiglia, Fausto (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Yang, Bo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Artificial Intelligence ; 11061
• Θέματα: Artificial intelligence.; Data mining.; Information storage and retrieval.; Application software.; Natural language processing (Computer science).; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Natural Language Processing (NLP).; Computer Appl. in Social and Behavioral Sciences.

 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. 

 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.