New Frontiers in Mining Complex Patterns

- Learning with Configurable Operators and RL-Based Heuristics
- Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses
- Mining Complex Event Patterns in Computer Networks
- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
- Machine Learning as an Objective Approach to Understanding Music
- Pair-Based Object-Driven Action Rules
- Effectively Grouping Trajectory Streams
- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns
- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text
- Discovering Evolution Chains in Dynamic Networks
- Supporting Information Spread in a Social  Internetworking Scenario
- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution.  Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses
- Mining Complex Event Patterns in Computer Networks
- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation
- Machine Learning as an Objective Approach to Understanding Music
- Pair-Based Object-Driven Action Rules
- Effectively Grouping Trajectory Streams
- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets
- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data
- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels
- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns
- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text
- Discovering Evolution Chains in Dynamic Networks
- Supporting Information Spread in a Social  Internetworking Scenario
- Context-Aware Predictions on Business Processes: