Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings (Lecture Notes in Computer Science Book 9956)

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains. Front Matter....Pages I-XXI Front Matter....Pages 1-1 Exceptional Preferences Mining....Pages 3-18 Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships....Pages 19-34 InterSet: Interactive Redescription Set Exploration....Pages 35-50 Expect the Unexpected – On the Significance of Subgroups....Pages 51-66 Min-Hashing for Probabilistic Frequent Subtree Feature Spaces....Pages 67-82 Front Matter....Pages 83-83 STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals....Pages 85-100 Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data....Pages 101-117 Option Predictive Clustering Trees for Multi-target Regression....Pages 118-133 HSIM: A Supervised Imputation Method for Hierarchical Classification Scenario....Pages 134-148 Front Matter....Pages 149-149 Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype....Pages 151-166 Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques....Pages 167-182 Predicting Wildfires....Pages 183-197 Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach....Pages 198-212 Evolution Analysis of Call Ego-Networks....Pages 213-225 Front Matter....Pages 227-227 Ensemble Diversity in Evolving Data Streams....Pages 229-244 Learning Ensembles of Process-Based Models by Bagging of Random Library Samples....Pages 245-260 Early Random Shapelet Forest....Pages 261-276 Front Matter....Pages 277-277 Shorter Rules Are Better, Aren’t They?....Pages 279-294 Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification....Pages 295-309 A Comparison of Different Data Transformation Approaches in the Feature Ranking Context....Pages 310-324 Front Matter....Pages 277-277 On Selection Bias with Imbalanced Classes....Pages 325-340 A Framework for Classification in Data Streams Using Multi-strategy Learning....Pages 341-355 Front Matter....Pages 357-357 Anomaly Detection in Networks with Temporal Information....Pages 359-375 Accelerating Computation of Distance Based Centrality Measures for Spatial Networks....Pages 376-391 A Semi-supervised Approach to Measuring User Privacy in Online Social Networks....Pages 392-407 On Using Temporal Networks to Analyze User Preferences Dynamics....Pages 408-423 Front Matter....Pages 425-425 Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning....Pages 427-441 Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders....Pages 442-456 DeepRED – Rule Extraction from Deep Neural Networks....Pages 457-473 Ligand Affinity Prediction with Multi-pattern Kernels....Pages 474-489 Back Matter....Pages 491-492 This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions. The conference focuses on following topics: Advances in the development and analysis of methods for discovering scienti@0310@01A0@0398c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti@0310@01A0@0398c domains This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions. The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.