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Scalable Uncertainty Management

4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010, Proceedings

  • Conference proceedings
  • © 2010

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Editors:
  1. Amol Deshpande

    1. Department of Computer Science, University of Maryland, College Park, USA

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  2. Anthony Hunter

    1. Department of Computer Science, University College London, London, UK

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    You can also search for this editor in PubMed   Google Scholar

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6379)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: SUM 2010.

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About this book

Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases,the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

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Table of contents (34 papers)

  1. Front Matter

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  4. Regular Contributions

    1. Managing Lineage and Uncertainty under a Data Exchange Setting

      • Foto N. Afrati, Angelos Vasilakopoulos
      Pages 28-41

    2. A Formal Analysis of Logic-Based Argumentation Systems

      • Leila Amgoud, Philippe Besnard
      Pages 42-55

    3. Handling Inconsistency with Preference-Based Argumentation

      • Leila Amgoud, Srdjan Vesic
      Pages 56-69

    4. A Possibility Theory-Oriented Discussion of Conceptual Pattern Structures

      • Zainab Assaghir, Mehdi Kaytoue, Henri Prade
      Pages 70-83

    5. DK-BKM: Decremental K Belief K-Modes Method

      • Sarra Ben Hariz, Zied Elouedi
      Pages 84-97

    6. On the Use of Fuzzy Cardinalities for Reducing Plethoric Answers to Fuzzy Queries

      • Patrick Bosc, Allel Hadjali, Olivier Pivert, Grégory Smits
      Pages 98-111

    7. From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

      • Myriam Bounhas, Khaled Mellouli, Henri Prade, Mathieu Serrurier
      Pages 112-125

    8. Plausibility of Information Reported by Successive Sources

      • Laurence Cholvy
      Pages 126-136

    9. Combining Semantic Web Search with the Power of Inductive Reasoning

      • Claudia d’Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz
      Pages 137-150

    10. Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches

      • Sebastien Destercke
      Pages 151-162

    11. Range-Consistent Answers of Aggregate Queries under Aggregate Constraints

      • Sergio Flesca, Filippo Furfaro, Francesco Parisi
      Pages 163-176
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  1. Scalable Uncertainty Management

Editors and Affiliations

  • Department of Computer Science, University of Maryland, College Park, USA

    Amol Deshpande

  • Department of Computer Science, University College London, London, UK

    Anthony Hunter

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