Discovery Science

- Inference and Learning in Planning (Extended Abstract)
- Mining Heterogeneous Information Networks by Exploring the Power of Links
- Learning on the Web
- Learning and Domain Adaptation
- The Two Faces of Active Learning
- An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
- Detecting New Kinds of Patient Safety Incidents
- Using Data Mining for Wine Quality Assessment
- MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
- On the Complexity of Constraint-Based Theory Extraction
- Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
- Regression Trees from Data Streams with Drift Detection
- Mining Frequent Bipartite Episode from Event Sequences
- CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
- Learning Large Margin First Order Decision Lists for Multi-Class Classification
- Centrality Measures from Complex Networks in Active Learning
- Player Modeling for Intelligent Difficulty Adjustment
- Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images
- Discovering the Structures of Open Source Programs from Their Developer Mailing Lists
- A Comparison of Community Detection Algorithms on Artificial Networks
- Towards an Ontology of Data Mining Investigations
- OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
- C-DenStream: Using Domain Knowledge on a Data Stream
- Discovering Influential Nodes for SIS Models in Social Networks
- An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules
- Precision and Recall for Regression
- Mining Local Correlation Patterns in Sets of Sequences
- Subspace Discovery for Promotion: A Cell Clustering Approach
- Contrasting Sequence Groups by Emerging Sequences
- A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
- A Hybrid Collaborative