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Discovery Science

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

  • João Gama
  • Vítor Santos Costa
  • Alípio Mário Jorge
  • Pavel B. Brazdil
Conference proceedings DS 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5808)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5808)

Table of contents

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

About these proceedings

Keywords

clustering collaborative science data analysis data mining image segmentation knowledge knowledge discovery knowledge extraction knowledge processing learning learning agents machine learning science education visualization web mining

Editors and affiliations

  • João Gama
    • 1
  • Vítor Santos Costa
    • 2
  • Alípio Mário Jorge
    • 3
  • Pavel B. Brazdil
    • 4
  1. 1.Faculty of Economics; Rua Dr. Roberto FriasUniversity of PortoPortoPortugal
  2. 2.DCC-FCUniversidade do PortoPortugal
  3. 3.LIACC/FEPUniversidade do PortoPortugal
  4. 4.LIAAD-INESC Porto L.A./Faculty of EconomicsUniversity of PortoPortoPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04747-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04746-6
  • Online ISBN 978-3-642-04747-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site