Scalable Uncertainty Management

1. Front Matter

   Pages I-XIX

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2. Invited Talk

   1. Front Matter

      Pages 1-1

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   2. The Mysterious World of Normal Numbers

      • Jean-Marie De Koninck

      Pages 3-18

3. Bayesian Networks

   1. Front Matter

      Pages 19-19

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   2. Probabilistic Query Answering in the Bayesian Description Logic \(\mathcal {BE{}L}\)

      • İsmail İlkan Ceylan, Rafael Peñaloza

      Pages 21-35

   3. The Complexity of Plate Probabilistic Models

      • Fabio G. Cozman, Denis D. Mauá

      Pages 36-49

   4. DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model

      • Denis D. Mauá, Fabio G. Cozman

      Pages 50-64

4. Probabilistic Models

   1. Front Matter

      Pages 65-65

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   2. State Space Search with Stochastic Costs and Risk Aversion

      • Anisse Ismaili

      Pages 67-82

   3. On the Impact of Junction-Tree Topology on Weighted Model Counting

      • Batya Kenig, Avigdor Gal

      Pages 83-98

   4. A System for Probabilistic Inductive Answer Set Programming

      • Matthias Nickles, Alessandra Mileo

      Pages 99-105

   5. Towards Large-Scale Probabilistic OBDA

      • Joerg Schoenfisch, Heiner Stuckenschmidt

      Pages 106-120

   6. Reasoning over Linear Probabilistic Knowledge Bases with Priorities

      • Nico Potyka

      Pages 121-136

5. Intelligent Data Analytics

   1. Front Matter

      Pages 137-137

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   2. Evenness-Based Reasoning with Logical Proportions Applied to Classification

      • Myriam Bounhas, Henri Prade, Gilles Richard

      Pages 139-154

   3. Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning

      • Ahmed Mabrouk, Christophe Gonzales, Karine Jabet-Chevalier, Eric Chojnaki

      Pages 155-169

   4. Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model

      • Mohamad Mehdi, Elise Epaillard, Nizar Bouguila, Jamal Bentahar

      Pages 170-185

   5. Linguistic and Graphical Explanation of a Cluster-Based Data Structure

      • Grégory Smits, Olivier Pivert

      Pages 186-200

6. Possibility Theory, Belief Functions and Transformations

   1. Front Matter

      Pages 201-201

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   2. Probability-Possibility Transformations: Application to Credal Networks

      • Salem Benferhat, Amélie Levray, Karim Tabia

      Pages 203-219

This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

• decision support systems
• incomplete information
• inconsistent information
• risk analysis
• uncertain information

• Fakultät für Mathematik und Informatik, FernUniversität in Hagen, Hagen, Germany

  Christoph Beierle

• California Polytechnic State University, SAN LUIS OBISPO, USA

  Alex Dekhtyar

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