Knowledge Science, Engineering and Management Knowledge Science, Engineering and Management

Knowledge Science, Engineering and Management

11th International Conference, KSEM 2018, Changchun, China, August 17–19, 2018, Proceedings, Part II

Weiru Liu والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٠ أغسطس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
PRICAI 2022: Trends in Artificial Intelligence PRICAI 2022: Trends in Artificial Intelligence
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Intelligent Data Engineering and Automated Learning – IDEAL 2017 Intelligent Data Engineering and Automated Learning – IDEAL 2017
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Database and Expert Systems Applications Database and Expert Systems Applications
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Database Systems for Advanced Applications Database Systems for Advanced Applications
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Computational Science – ICCS 2022 Computational Science – ICCS 2022
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Advances in Knowledge Discovery and Data Mining Advances in Knowledge Discovery and Data Mining
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Knowledge Science, Engineering and Management Knowledge Science, Engineering and Management
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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