Ebook: Discovery Science: 15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings

This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.

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This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012.
The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.

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This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012.
The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.
Content:
Front Matter....Pages -
Declarative Modeling for Machine Learning and Data Mining....Pages 1-1
Recent Developments in Pattern Mining....Pages 2-2
Exploring Sequential Data....Pages 3-6
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers....Pages 7-21
Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting....Pages 22-36
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning....Pages 37-51
Towards Finding Relational Redescriptions....Pages 52-66
Descriptive Modeling of Systemic Banking Crises....Pages 67-80
A Trim Distance between Positions in Nucleotide Sequences....Pages 81-94
Data Squashing for HSV Subimages by an Autonomous Mobile Robot....Pages 95-109
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs....Pages 110-124
Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming....Pages 125-138
HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning....Pages 139-153
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity....Pages 154-168
Fast Approximation Algorithm for the 1-Median Problem....Pages 169-183
Online Co-regularized Algorithms....Pages 184-193
Fast Progressive Training of Mixture Models for Model Selection....Pages 194-208
Including Spatial Relations and Scales within Sequential Pattern Extraction....Pages 209-223
Predicting Ramp Events with a Stream-Based HMM Framework....Pages 224-238
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model....Pages 239-253
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction....Pages 254-267
An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML....Pages 268-283
Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search....Pages 284-298
Enhancing Patent Expertise through Automatic Matching with Scientific Papers....Pages 299-312
Soft Threshold Constraints for Pattern Mining....Pages 313-327
Back Matter....Pages -

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This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012.
The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The scope of this conference includes the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, tools for supporting the human process of discovery in science, as well as their application to knowledge discovery.
Content:
Front Matter....Pages -
Declarative Modeling for Machine Learning and Data Mining....Pages 1-1
Recent Developments in Pattern Mining....Pages 2-2
Exploring Sequential Data....Pages 3-6
Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers....Pages 7-21
Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting....Pages 22-36
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning....Pages 37-51
Towards Finding Relational Redescriptions....Pages 52-66
Descriptive Modeling of Systemic Banking Crises....Pages 67-80
A Trim Distance between Positions in Nucleotide Sequences....Pages 81-94
Data Squashing for HSV Subimages by an Autonomous Mobile Robot....Pages 95-109
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs....Pages 110-124
Efficient Redundancy Reduced Subgroup Discovery via Quadratic Programming....Pages 125-138
HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning....Pages 139-153
LF-CARS: A Loose Fragment-Based Consensus Clustering Algorithm with a Robust Similarity....Pages 154-168
Fast Approximation Algorithm for the 1-Median Problem....Pages 169-183
Online Co-regularized Algorithms....Pages 184-193
Fast Progressive Training of Mixture Models for Model Selection....Pages 194-208
Including Spatial Relations and Scales within Sequential Pattern Extraction....Pages 209-223
Predicting Ramp Events with a Stream-Based HMM Framework....Pages 224-238
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model....Pages 239-253
Error-Correcting Output Codes as a Transformation from Multi-Class to Multi-Label Prediction....Pages 254-267
An Assessment on Loan Performance from Combined Quantitative and Qualitative Data in XML....Pages 268-283
Structural Change Pattern Mining Based on Constrained Maximal k-Plex Search....Pages 284-298
Enhancing Patent Expertise through Automatic Matching with Scientific Papers....Pages 299-312
Soft Threshold Constraints for Pattern Mining....Pages 313-327
Back Matter....Pages -
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