Advances in Artificial Intelligence – IBERAMIA 2012

13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings

ISBN: 978-3-642-34653-8 (Print) 978-3-642-34654-5 (Online)

Table of contents (74 chapters)

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  1. Front Matter

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  2. Knowledge Representation and Reasoning

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      Pages 1-10

      Contradiction Detection and Ontology Extension in a Never-Ending Learning System

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      Pages 11-20

      Pattern Recognition and Monte-CarloTree Search for Go Gaming Better Automation

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      Pages 21-30

      Exploring the Rationality of Some Syntactic Merging Operators

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      Pages 31-40

      Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance

  3. Information and Knowledge Processing

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      Pages 41-50

      An Unsupervised Method for Ontology Population from the Web

  4. Knowledge Discovery and Data Mining

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      Pages 51-60

      Minimum Cluster Size Estimation and Cluster Refinement for the Randomized Gravitational Clustering Algorithm

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      Pages 61-70

      Online Cluster Prototype Generation for the Gravitational Clustering Algorithm

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      Pages 71-80

      Association Rule Visualization and Pruning through Response-Style Data Organization and Clustering

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      Pages 81-90

      Identifying Relationships in Transactional Data

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      Pages 91-100

      Time Series Discretization Based on the Approximation of the Local Slope Information

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      Pages 101-110

      Enhancing the Performance of SVM on Skewed Data Sets by Exciting Support Vectors

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      Pages 111-119

      Study on the Impact of Affinity on the Results of Data Mining in Biological Populations

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      Pages 120-129

      Hierarchical Classification of Gene Ontology with Learning Classifier Systems

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      Pages 130-139

      Detecting Survival Patterns in Women with Invasive Cervical Cancer with Decision Trees

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      Pages 140-148

      Using SOM Maps for Clustering and Visualization of Diamond Films Deposited by HFCVD Process

  5. Machine Learning

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      Pages 149-158

      Selection and Fusion of Neural Networks via Differential Evolution

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      Pages 159-168

      Prototype Selection with Compact Sets and Extended Rough Sets

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      Pages 169-178

      Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data

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      Pages 179-188

      Fitness Function Obtained from a Genetic Programming Approach for Web Document Clustering Using Evolutionary Algorithms

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      Pages 189-198

      On the Estimation of Predictive Evaluation Measure Baselines for Multi-label Learning

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