Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009

Front Matter....Pages -
Inference and Learning in Planning (Extended Abstract)....Pages 1-12
Mining Heterogeneous Information Networks by Exploring the Power of Links....Pages 13-30
Learning on the Web....Pages 31-31
Learning and Domain Adaptation....Pages 32-34
The Two Faces of Active Learning....Pages 35-35
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting....Pages 36-50
Detecting New Kinds of Patient Safety Incidents....Pages 51-65
Using Data Mining for Wine Quality Assessment....Pages 66-79
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio....Pages 80-91
On the Complexity of Constraint-Based Theory Extraction....Pages 92-106
Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool....Pages 107-120
Regression Trees from Data Streams with Drift Detection....Pages 121-135
Mining Frequent Bipartite Episode from Event Sequences....Pages 136-151
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks....Pages 152-167
Learning Large Margin First Order Decision Lists for Multi-Class Classification....Pages 168-183
Centrality Measures from Complex Networks in Active Learning....Pages 184-196
Player Modeling for Intelligent Difficulty Adjustment....Pages 197-211
Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images....Pages 212-226
Discovering the Structures of Open Source Programs from Their Developer Mailing Lists....Pages 227-241
A Comparison of Community Detection Algorithms on Artificial Networks....Pages 242-256
Towards an Ontology of Data Mining Investigations....Pages 257-271
OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers....Pages 272-286
C-DenStream: Using Domain Knowledge on a Data Stream....Pages 287-301
Discovering Influential Nodes for SIS Models in Social Networks....Pages 302-316
An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules....Pages 317-331
Precision and Recall for Regression....Pages 332-346
Mining Local Correlation Patterns in Sets of Sequences....Pages 347-361
Subspace Discovery for Promotion: A Cell Clustering Approach....Pages 362-376
Contrasting Sequence Groups by Emerging Sequences....Pages 377-384
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams....Pages 385-392
A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks....Pages 393-400
Linear Programming Boosting by Column and Row Generation....Pages 401-408
Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent....Pages 409-416
A Dialectic Approach to Problem-Solving....Pages 417-424
Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs....Pages 425-432
Stream Clustering of Growing Objects....Pages 433-440
Finding the k -Most Abnormal Subgraphs from a Single Graph....Pages 441-448
Latent Topic Extraction from Relational Table for Record Matching....Pages 449-456
Computing a Comprehensible Model for Spam Filtering....Pages 457-464
Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality....Pages 465-472
Back Matter....Pages -