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Knowledge Science, Engineering and Management : 11th International Conference, KSEM 2018, Changchun, China, August 17-19, 2018, Proceedings, Part I / edited by Weiru Liu, Fausto Giunchiglia, Bo Yang.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11061
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 11061
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Information storage and retrieval systems.
- Application software.
- Natural language processing (Computer science).
- Social sciences-Data processing.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Natural Language Processing (NLP).
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Natural Language Processing (NLP).
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XXIV, 526 pages) : 159 illustrations
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-99365-2
- 9783319993652
- Access Restriction:
- Restricted for use by site license.
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