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Progress in Artificial Intelligence

11th Protuguese Conference on Artificial Intelligence, EPIA 2003, Beja, Portugal, December 4-7, 2003, Proceedings

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Fernando Moura Pires

    1. Departamento de Informática, Universidade de Évora, Évora, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Salvador Abreu

    1. Universidade de Évora and CENTRIA FCT/UNL, Portugal

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2902)

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

Included in the following conference series:

Conference proceedings info: EPIA 2003.

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Table of contents (57 papers)

  1. Constraint and Logic Programming Systems (CLPS)

    1. On the BEAM Implementation

      • Ricardo Lopes, Vítor Santos Costa, Fernando Silva
      Pages 131-135

    2. YapDss: An Or-Parallel Prolog System for Scalable Beowulf Clusters

      • Ricardo Rocha, Fernando Silva, Rolando Martins
      Pages 136-150

    3. Experimental Evaluation of a Caching Technique for ILP

      • Nuno Fonseca, Vitor Santos Costa, Fernando Silva, Rui Camacho
      Pages 151-155

    4. jcc: Integrating Timed Default Concurrent Constraint Programming into Java

      • Vijay Saraswat, Radha Jagadeesan, Vineet Gupta
      Pages 156-170

  2. Extraction of Knowledge from Data Bases (EKDB)

    1. BAYES-NEAREST: A New Hybrid Classifier Combining Bayesian Network and Distance Based Algorithms

      • Elena Lazkano, Basilio Sierra
      Pages 171-183

    2. A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring

      • Sara C. Madeira, Arlindo L. Oliveira, Catarina S. Conceição
      Pages 184-188

    3. Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production

      • Alicia Troncoso Lora, José C. Riquelme, José Luís Martínez Ramos, Jesús M. Riquelme Santos, Antonio Gómez Expósito
      Pages 189-203

    4. Creating User-Adapted Design Recommender System through Collaborative Filtering and Content Based Filtering

      • Kyung-Yong Jung, Young-Joo Na, Jung-Hyun Lee
      Pages 204-208

    5. Is the UCI Repository Useful for Data Mining?

      • Carlos Soares
      Pages 209-223

    6. Improving the Efficiency of ILP Systems

      • Rui Camacho
      Pages 224-228

    7. Reorganizing News Web Pages for Mobile Users

      • Woncheol Kim, Eenjun Hwang, Wonil Kim
      Pages 229-243

    8. Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms

      • V. Robles, P. Larrañaga, J. M. Peña, M. S. Pérez, E. Menasalvas, V. Herves
      Pages 244-258

    9. Learning Action Theories with Ramifications

      • David Lorenzo
      Pages 259-263

    10. Mining Low Dimensionality Data Streams of Continuous Attributes

      • Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José C. Riquelme
      Pages 264-278

    11. Adaptation to Drifting Concepts

      • Gladys Castillo, João Gama, Pedro Medas
      Pages 279-293

    12. Border Detection on Remote Sensing Satellite Data Using Self-Organizing Maps

      • Nuno C. Marques, Ning Chen
      Pages 294-307

    13. Predicting Harmful Algae Blooms

      • Rita Ribeiro, Luis Torgo
      Pages 308-312

    14. Improving Progressive Sampling via Meta-learning

      • Rui Leite, Pavel Brazdil
      Pages 313-323

  3. Multi-Agents and AI for the Internet (MAAII)

    1. Distributed Learning Agents in Urban Traffic Control

      • Eduardo Camponogara, Werner Kraus Jr.
      Pages 324-335

    2. The Chatbot Feeling – Towards Animated Emotional ECAs

      • Gábor Tatai, Annamária Csordás, Attila Szaló, László Laufer
      Pages 336-340
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  1. Progress in Artificial Intelligence

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Editors and Affiliations

  • Departamento de Informática, Universidade de Évora, Évora, Portugal

    Fernando Moura Pires

  • Universidade de Évora and CENTRIA FCT/UNL, Portugal

    Salvador Abreu

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