AI 2011 Advances in Artificial Intelligence Lecture Notes in Artificial Intelligence 1st edition by Dianhui Wang, Mark Reynolds 7106 9783642258329 3642258328

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ISBN 10: 3642258328
ISBN 13: 9783642258329 
Author: Dianhui Wang; Mark Reynolds

This book constitutes the refereed proceedings of the 24th Australasian Joint Conference on Artificial Intelligence, AI 2011, held in Perth, Australia, in December 2011. The 82 revised full papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on data mining and knowledge discovery, machine learning, evolutionary computation and optimization, intelligent agent systems, logic and reasoning, vision and graphics, image processing, natural language processing, cognitive modeling and simulation technology, and AI applications.

AI 2011 Advances in Artificial Intelligence Lecture Notes in Artificial Intelligence 1st Table of contents:

Session 1: Data Mining and Knowledge Discovery

Guided Rule Discovery in XCS for High-Dimensional Classification Problems

• Introduction
• Background
• XCS Overview
• Related Work
• Model
• Experiments
  • Data Sets
  • Parameters
  • Results
• Conclusions
• References

Motif-Based Method for Initialization the K-Means Clustering for Time Series Data

• Introduction
• Background
  • Dimensionality Reduction
  • Clustering for Time Series Data
  • Time Series Motifs and the Brute-Force Algorithm
• The Proposed Clustering Method for Time Series Data
  • How to Speed Up the Brute-Force Algorithm for Finding 1-Motifs
  • How to Derive Initial Centers from Results of K-Means Clustering on 1-Motifs
• Experimental Evaluation
• Conclusions
• References

Semi-Supervised Classification Using Tree-Based Self-Organizing Maps

• Introduction
• The Tree-Based Topology Oriented SOM
• The TTOSOM-Based Classifier
• Experimental Setup
• Results
• Conclusions
• References

The Discovery and Use of Ordinal Information on Attribute Values in Classifier Learning

• Introduction
• Value of Ordinal Information
• Testing
• Results
• Discovering Orders
• Developing Methods
• Testing Order Discovery
• Random Orders for Ensemble Classifiers
• Conclusions and Further Work
• References

Beyond Trees: Adopting MITI to Learn Rules and Ensemble Classifiers for Multi-Instance Data

• Introduction
• The MITI Algorithm
  • Experimental Results
• MIRI: Using MITI to Learn Rule Sets
  • Experimental Results
• Building Ensemble Classifiers
  • Experimental Results
• Conclusions
• References

Automatically Measuring the Quality of User Generated Content in Forums

• Introduction
• Problem Definition
• UGCQ Assessment Model
• Experiment
  • Datasets
  • Feature Selection
  • Performance Evaluation
  • Post Quality Classification
• Results
  • Friedman Test
  • Nemenyi Test
• Discussion
• Related Work
• Conclusion
• References

Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features

• Introduction
• Related Work
• Genetically Enhanced Feature Selection
  • Genetic Representation
  • Wrapped Classifier Fitness Function
  • Random Crossover
  • Mutation
  • Highest Fitness (Greedy) Selection
  • Weighted Random Selection
  • Weighted Random Selection with Simulated Annealing
  • Complexity
• Experimental Results
• Conclusion
• References

Penalized Least Squares for Smoothing Financial Time Series

• Introduction
• Current Methods
• Our Proposed Method
• Experiment Description
  • Data
  • Smoothness (Noise) Function
  • Lag Function
  • Cross Validation
• Results
• Conclusions
• References

Logistic Regression with the Nonnegative Garrote

• Introduction
• Nonnegative Garrote
• Simulation
  • Simulated Data
  • Path Consistency
  • Initial Estimates for the NNG
• Real Data
• Discussion and Recommendations
• References

Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets

• Introduction
• The Consensus Clustering Problem
  • Objective Function
  • The Genetic Algorithm
• The Breast Cancer Datasets
• Results
  • Comparison with Existing Subtypes
• Conclusion
• References

Combining Instantaneous and Time-Delayed Interactions between Genes: A Two-Phase Algorithm Based on Bayesian Networks

• Introduction
• Background
  • Bayesian Network (BN)
  • Dynamic Bayesian Network (DBN)
  • Information Theoretic Quantities
• The Method
  • Framework for Representation
  • Finding the Appropriate Search Strategy
  • Finding the Intra-slice Arc Directions
• Simulation and Results
  • Synthetic Network
  • Real-Life Biological Data
• Conclusion
• References

A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps

• Introduction
• Laplacian Eigenmaps and Spectral Clustering
• Sparse Grids
• Sparse-Grid-Based Out-of-Sample Extension
• Experiments
• Conclusion
• References

Distribution-Based Data Filtering for Financial Time Series Forecasting

• Introduction
• Related Work
• Distribution-Based Samples Removing Algorithm
  • Distance Value – Threshold Based Decision
  • Distance Value – Percentage Based Decision
• Datasets
• Experiments
• Conclusion
• References

Sequential Feature Selection for Classification

• Introduction
• Framework
  • General Idea
  • Sequential Classification
  • Action Selection without Replacement
  • Solving the POMDP
• Experiments and Discussion
  • Handwritten MNIST Digit Classification
  • Diabetes Dataset with Naive Bayes Classification
• Discussion
• Conclusion
• References

Long-Tail Recommendation Based on Reflective Indexing

• Introduction
• Novelty as an Important Value of Long-Tail Recommendations
• Methodological Assumptions
• Contribution of the Paper
• Algebraic Model for PRI
  • Modeling User-Item Dependencies as a Probability Space
  • Reflective Data Processing
• The PRI Algorithm
• Evaluation
  • Data Sets
  • Recommendation Quality Evaluation
• Conclusions
• References

Author Name Disambiguation for Ranking and Clustering PubMed Data Using NetClus

• Introduction
• Related Work
• The Challenges of Author Name Disambiguation on PubMed
• Related Work on Disambiguation of PubMed Authors
• A Multi-evidence Author Disambiguation System
  • Disambiguation Using Organisation Names and Addresses
  • Disambiguation Using Co-author Network
• Evaluation of the Disambiguation Technique
  • Accuracy of the Proposed Disambiguation Technique
  • Evaluation of NetClus Results
• Conclusion and Future Work
• References

Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management

• Introduction
• Background: Mining Diabetic Patient Data
• Application
  • Chronic Disease Management (CDM)
  • Chronic Disease Management Network (cdmNet)
  • Chronic Disease Management Network – Business Intelligence (cdmNet-BI) Module
• The Self-Organizing Map (SOM)
  • The Growing Self-Organizing Map (GSOM)
• Patterns in Diabetes Management
  • Analysis of Features Common to Any Individual
  • Analysis of Common Features with Diabetes-Specific Medical Features
• Patterns Recognised from Diabetes Data: Outcomes
• Conclusions and Future Work
• References

Distance-Based Feature Selection on Classification of Uncertain Objects

• Introduction
• Related Work
• Problem Definition
• UK-Means

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