12. DS 2009: Porto, Portugal

• Hector Geffner:
  Inference and Learning in Planning (Extended Abstract). 1-12
  
• Jiawei Han:
  Mining Heterogeneous Information Networks by Exploring the Power of Links. 13-30
  
• Fernando C. N. Pereira:
  Learning on the Web. 31
  
• Yishay Mansour:
  Learning and Domain Adaptation. 32-34
  
• Sanjoy Dasgupta:
  The Two Faces of Active Learning. 35
  
• Annalisa Appice, Michelangelo Ceci, Donato Malerba:
  An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. 36-50
  
• James Bentham, David J. Hand:
  Detecting New Kinds of Patient Safety Incidents. 51-65
  
• Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis:
  Using Data Mining for Wine Quality Assessment. 66-79
  
• Yasser El-Manzalawy, Vasant Honavar:
  MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. 80-91
  
• Mario Boley, Thomas Gärtner:
  On the Complexity of Constraint-Based Theory Extraction. 92-106
  
• Sherri K. Harms, Tsegaye Tadesse, Brian Wardlow:
  Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool. 107-120
  
• Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevik:
  Regression Trees from Data Streams with Drift Detection. 121-135
  
• Takashi Katoh, Hiroki Arimura, Kouichi Hirata:
  Mining Frequent Bipartite Episode from Event Sequences. 136-151
  
• Min-Soo Kim, Jiawei Han:
  CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks. 152-167
  
• Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg:
  Learning Large Margin First Order Decision Lists for Multi-Class Classification. 168-183
  
• Robson Motta, Alneu de Andrade Lopes, Maria Cristina Ferreira de Oliveira:
  Centrality Measures from Complex Networks in Active Learning. 184-196
  
• Olana Missura, Thomas Gärtner:
  Player Modeling for Intelligent Difficulty Adjustment. 197-211
  
• Susana Nascimento, Pedro Franco:
  Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images. 212-226
  
• Dinh Anh Nguyen, Koichiro Doi, Akihiro Yamamoto:
  Discovering the Structures of Open Source Programs from Their Developer Mailing Lists. 227-241
  
• Günce Keziban Orman, Vincent Labatut:
  A Comparison of Community Detection Algorithms on Artificial Networks. 242-256
  
• Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
  Towards an Ontology of Data Mining Investigations. 257-271
  
• Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy:
  OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. 272-286
  
• Carlos Ruiz, Ernestina Menasalvas Ruiz, Myra Spiliopoulou:
  C-DenStream: Using Domain Knowledge on a Data Stream. 287-301
  
• Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
  Discovering Influential Nodes for SIS Models in Social Networks. 302-316
  
• Jan-Nikolas Sulzmann, Johannes Fürnkranz:
  An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules. 317-331
  
• Luís Torgo, Rita Ribeiro:
  Precision and Recall for Regression. 332-346
  
• Antti Ukkonen:
  Mining Local Correlation Patterns in Sets of Sequences. 347-361
  
• Tianyi Wu, Jiawei Han:
  Subspace Discovery for Promotion: A Cell Clustering Approach. 362-376
  
• Kang Deng, Osmar R. Zaïane:
  Contrasting Sequence Groups by Emerging Sequences. 377-384
  
• Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba:
  A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. 385-392
  
• Jorge Gonzalo-Alonso, Paloma de Juan, Elena Garcí-a-Hortelano, Carlos Angel Iglesias:
  A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks. 393-400
  
• Kohei Hatano, Eiji Takimoto:
  Linear Programming Boosting by Column and Row Generation. 401-408
  
• Cédric Herpson, Vincent Corruble:
  Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent. 409-416
  
• Éric Martin, Jean Sallantin:
  A Dialectic Approach to Problem-Solving. 417-424
  
• Kazuhiro Seki, Yoshihiro Kino, Kuniaki Uehara:
  Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs. 425-432
  
• Zaigham Faraz Siddiqui, Myra Spiliopoulou:
  Stream Clustering of Growing Objects. 433-440
  
• JianBin Wang, Bin-Hui Chou, Einoshin Suzuki:
  Finding the k-Most Abnormal Subgraphs from a Single Graph. 441-448
  
• Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu:
  Latent Topic Extraction from Relational Table for Record Matching. 449-456
  
• Amparo Ruiz-Sepúlveda, José L. Triviño-Rodriguez, Rafael Morales Bueno:
  Computing a Comprehensible Model for Spam Filtering. 457-464
  
• Takanori Yamamoto, Hideo Bannai, Masao Nagasaki, Satoru Miyano:
  Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality. 465-472