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Foundations of Intelligent Systems

22nd International Symposium, ISMIS 2015, Lyon, France, October 21-23, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Floriana Esposito

    1. Computer Science, University of Bari, Bari, Italy

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  2. Olivier Pivert

    1. Enssat, Lannion, France

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  3. Mohand-Said Hacid

    1. LISI-UFR d'Informatique, Université Claude Bernard Lyon 1, Villeurbanne Cedex, France

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  4. Zbigniew W. Rás

    1. University of North Carolina, CHARLOTTE, USA

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  5. Stefano Ferilli

    1. Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9384)

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

Included in the following conference series:

Conference proceedings info: ISMIS 2015.

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Table of contents (49 papers)

  1. Front Matter

    Pages I-XXIII
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  2. Data Mining Methods

    1. Front Matter

      Pages 1-1
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    2. Data Mining with Histograms – A Case Study

      • Jan Rauch, Milan Šimůnek
      Pages 3-8

    3. Discovering Variability Patterns for Change Detection in Complex Phenotype Data

      • Corrado Loglisci, Bachir Balech, Donato Malerba
      Pages 9-18

    4. Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold

      • Andrzej Janusz, Dominik Ślęzak
      Pages 19-28

  3. Databases, Information Retrieval, Recommender Systems

    1. Front Matter

      Pages 29-29
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    2. A New Formalism for Evidential Databases

      • Fatma Ezzahra Bousnina, Mohamed Anis Bach Tobji, Mouna Chebbah, Ludovic Liétard, Boutheina Ben Yaghlane
      Pages 31-40

    3. Ubiquitous City Information Platform Powered by Fuzzy Based DSSs to Meet Multi Criteria Customer Satisfaction: A Feasible Implementation

      • Alberto Faro, Daniela Giordano
      Pages 41-51

    4. A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs

      • Bettina Fazzinga, Sergio Flesca, Filippo Furfaro, Elio Masciari, Luigi Pontieri, Chiara Pulice
      Pages 52-58

    5. An Approximate Proximity Graph Incremental Construction for Large Image Collections Indexing

      • Frédéric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini
      Pages 59-68

    6. Experimenting Analogical Reasoning in Recommendation

      • Nicolas Hug, Henri Prade, Gilles Richard
      Pages 69-78

    7. Personalized Meta-Action Mining for NPS Improvement

      • Jieyan Kuang, Zbigniew W. Raś, Albert Daniel
      Pages 79-87

    8. On the Qualitative Calibration of Bipolar Queries

      • Jalel Akaichi, Ludovic Liétard, Daniel Rocacher, Olfa Slama
      Pages 88-97

  4. Machine Learning

    1. Front Matter

      Pages 99-99
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    2. A Scalable Boosting Learner Using Adaptive Sampling

      • Jianhua Chen, Seth Burleigh, Neeharika Chennupati, Bharath K. Gudapati
      Pages 101-111

    3. WPI: Markov Logic Network-Based Statistical Predicate Invention

      • Stefano Ferilli, Giuseppe Fatiguso
      Pages 112-121

    4. Learning Bayesian Random Cutset Forests

      • Nicola Di Mauro, Antonio Vergari, Teresa M. A. Basile
      Pages 122-132

    5. Classifier Fusion Within the Belief Function Framework Using Dependent Combination Rules

      • Asma Trabelsi, Zied Elouedi, Eric Lefèvre
      Pages 133-138

    6. On the Effectiveness of Evidence-Based Terminological Decision Trees

      • Giuseppe Rizzo, Claudia d’Amato, Nicola Fanizzi
      Pages 139-149

    7. Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity

      • Kaikai Zhao, Einoshin Suzuki
      Pages 150-159
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  1. Foundations of Intelligent Systems

Keywords

About this book

This book constitutes the refereed proceedings of the 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, held in Lyon, France, in October 2015.

The 31 revised full papers presented together with 18 short papers were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining methods; databases, information retrieval, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis, multi-agent systems; applications; planning, classification; and textual data analysis and mining.

Editors and Affiliations

  • Computer Science, University of Bari, Bari, Italy

    Floriana Esposito

  • Enssat, Lannion, France

    Olivier Pivert

  • LISI-UFR d'Informatique, Université Claude Bernard Lyon 1, Villeurbanne Cedex, France

    Mohand-Said Hacid

  • University of North Carolina, CHARLOTTE, USA

    Zbigniew W. Rás

  • Dipartimento di Informatica, Università degli Studi di Bari, Bari, Italy

    Stefano Ferilli

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