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Scalable Uncertainty Management

9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Christoph Beierle

    1. Fakultät für Mathematik und Informatik, FernUniversität in Hagen, Hagen, Germany

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  2. Alex Dekhtyar

    1. California Polytechnic State University, SAN LUIS OBISPO, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9310)

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

Included in the following conference series:

Conference proceedings info: SUM 2015.

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Table of contents (28 papers)

  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
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  1. Scalable Uncertainty Management

Keywords

About this book

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.

Editors and Affiliations

  • 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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