New Frontiers in Mining Complex Patterns

Chapter 1 Learning Association Rules for Pharmacogenomic Studies

Chapter 2 Segment-Removal Based Stuttered Speech Remediation

Chapter 3 Identifying lncRNA-Disease Relationships via Heterogeneous Clustering

Chapter 4 Density Estimators for Positive-Unlabeled Learning

Chapter 5 Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum

Chapter 6 A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks

Chapter 7 Complex Localization in the Multiple Instance Learning Context

Chapter 9 Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load

Chapter 10 Phenotype Prediction with Semi-supervised Classification Trees

Chapter 11 Structuring the Output Space in Multi-label Classification by Using Feature Ranking

Chapter 12 Infinite Mixtures of Markov Chains

Chapter 13 Community-Based Semantic Subgroup Discovery