Scalable Uncertainty Management Scalable Uncertainty Management

Scalable Uncertainty Management

14th International Conference, SUM 2020, Bozen-Bolzano, Italy, September 23–25, 2020, Proceedings

    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020.
The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis.

Due to the Corona pandemic SUM 2020 was held as an virtual event.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٦ سبتمبر
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.‬
Scalable Uncertainty Management Scalable Uncertainty 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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Scalable Uncertainty Management Scalable Uncertainty 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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Scalable Uncertainty Management Scalable Uncertainty Management
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Scalable Uncertainty Management Scalable Uncertainty Management
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track
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Machine Learning and Knowledge Discovery in Databases. Research Track Machine Learning and Knowledge Discovery in Databases. Research Track
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Machine Learning and Knowledge Discovery in Databases. Research Track Machine Learning and Knowledge Discovery in Databases. Research Track
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Machine Learning and Knowledge Discovery in Databases. Research Track Machine Learning and Knowledge Discovery in Databases. Research Track
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