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Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I

  • José Luis Balcázar
  • Francesco Bonchi
  • Aristides Gionis
  • Michèle Sebag
Conference proceedings ECML PKDD 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6321)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6321)

Table of contents

  1. Front Matter
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  2. Invited Talks (Abstracts)

    1. Mining Billion-Node Graphs: Patterns, Generators and Tools
      Christos Faloutsos
      Pages 1-1
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    2. Structure Is Informative: On Mining Structured Information Networks
      Jiawei Han
      Pages 2-2
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    3. Intelligent Interaction with the Real World
      Leslie Pack Kaelbling
      Pages 3-3
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    4. Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational Biology
      Hod Lipson
      Pages 4-4
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    5. Hierarchical Learning Machines and Neuroscience of Visual Cortex
      Tomaso Poggio
      Pages 5-5
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    6. Formal Theory of Fun and Creativity
      Jürgen Schmidhuber
      Pages 6-6
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  3. Regular Papers

    1. Porting Decision Tree Algorithms to Multicore Using FastFlow
      Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati
      Pages 7-23
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    2. On Classifying Drifting Concepts in P2P Networks
      Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven Hoi
      Pages 24-39
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    3. A Unified Approach to Active Dual Supervision for Labeling Features and Examples
      Josh Attenberg, Prem Melville, Foster Provost
      Pages 40-55
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    4. Vector Field Learning via Spectral Filtering
      Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
      Pages 56-71
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    5. Weighted Symbols-Based Edit Distance for String-Structured Image Classification
      Cécile Barat, Christophe Ducottet, Elisa Fromont, Anne-Claire Legrand, Marc Sebban
      Pages 72-86
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    6. A Concise Representation of Association Rules Using Minimal Predictive Rules
      Iyad Batal, Milos Hauskrecht
      Pages 87-102
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    7. Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs
      François Bavaud
      Pages 103-118
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    8. Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
      Eva Besada-Portas, Sergey M. Plis, Jesus M. de la Cruz, Terran Lane
      Pages 119-134
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    9. Leveraging Bagging for Evolving Data Streams
      Albert Bifet, Geoff Holmes, Bernhard Pfahringer
      Pages 135-150
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    10. ITCH: Information-Theoretic Cluster Hierarchies
      Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther
      Pages 151-167
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    11. Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis
      Ilaria Bordino, Debora Donato, Ricardo Baeza-Yates
      Pages 168-183
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    12. Process Mining Meets Abstract Interpretation
      J. Carmona, J. Cortadella
      Pages 184-199
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    13. Smarter Sampling in Model-Based Bayesian Reinforcement Learning
      Pablo Samuel Castro, Doina Precup
      Pages 200-214
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    14. Predicting Partial Orders: Ranking with Abstention
      Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier
      Pages 215-230
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    15. Predictive Distribution Matching SVM for Multi-domain Learning
      Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Kee-Khoon Lee
      Pages 231-247
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    16. Kantorovich Distances between Rankings with Applications to Rank Aggregation
      Stéphan Clémençon, Jérémie Jakubowicz
      Pages 248-263
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    17. Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition
      Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber
      Pages 264-279
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    18. Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss
      Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier
      Pages 280-295
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    19. Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression
      Gerben de Vries, Maarten van Someren
      Pages 296-311
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    20. Adaptive Bases for Reinforcement Learning
      Dotan Di Castro, Shie Mannor
      Pages 312-327
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    21. Constructing Nonlinear Discriminants from Multiple Data Views
      Tom Diethe, David Roi Hardoon, John Shawe-Taylor
      Pages 328-343
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    22. Learning Algorithms for Link Prediction Based on Chance Constraints
      Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor
      Pages 344-360
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    23. Sparse Unsupervised Dimensionality Reduction Algorithms
      Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
      Pages 361-376
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    24. Asking Generalized Queries to Ambiguous Oracle
      Jun Du, Charles X. Ling
      Pages 377-392
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    25. Analysis of Large Multi-modal Social Networks: Patterns and a Generator
      Nan Du, Hao Wang, Christos Faloutsos
      Pages 393-408
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    26. A Cluster-Level Semi-supervision Model for Interactive Clustering
      Avinava Dubey, Indrajit Bhattacharya, Shantanu Godbole
      Pages 409-424
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    27. Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
      Frank Eichinger, Klaus Krogmann, Roland Klug, Klemens Böhm
      Pages 425-441
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    28. Induction of Concepts in Web Ontologies through Terminological Decision Trees
      Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 442-457
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    29. Classification with Sums of Separable Functions
      Jochen Garcke
      Pages 458-473
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    30. Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information
      Hirotaka Hachiya, Masashi Sugiyama
      Pages 474-489
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    31. Bagging for Biclustering: Application to Microarray Data
      Blaise Hanczar, Mohamed Nadif
      Pages 490-505
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    32. Hub Gene Selection Methods for the Reconstruction of Transcription Networks
      José Miguel Hernández-Lobato, Tjeerd M. H. Dijkstra
      Pages 506-521
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    33. Expectation Propagation for Bayesian Multi-task Feature Selection
      Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont
      Pages 522-537
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    34. Graphical Multi-way Models
      Ilkka Huopaniemi, Tommi Suvitaival, Matej Orešič, Samuel Kaski
      Pages 538-553
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    35. Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval
      Zakria Hussain, Alex P. Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor
      Pages 554-569
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    36. Graph Regularized Transductive Classification on Heterogeneous Information Networks
      Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao
      Pages 570-586
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    37. Temporal Maximum Margin Markov Network
      Xiaoqian Jiang, Bing Dong, Latanya Sweeney
      Pages 587-600
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    38. Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
      Tobias Jung, Peter Stone
      Pages 601-616
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  4. Back Matter
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Other volumes

  1. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I
  2. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II
  3. Machine Learning and Knowledge Discovery in Databases
    European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III

About these proceedings

Keywords

bio-informatics classification clustering data analysis data mining dimensionality reduction information retrieval knowledge knowledge discovery learning machine learning multi-agent systems semantic web social networks web mining

Editors and affiliations

  • José Luis Balcázar
    • 1
  • Francesco Bonchi
    • 2
  • Aristides Gionis
    • 3
  • Michèle Sebag
    • 4
  1. 1.Departamento de Matemáticas, Estadística y ComputaciónUniversidad de CantabriaSantanderSpain
  2. 2.Yahoo! Research BarcelonaBarcelonaSpain
  3. 3.Yahoo! Research BarcelonaBarcelonaSpain
  4. 4.TAO, CNRS-INRIA-LRI, Université Paris-SudOrsayFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15880-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15879-7
  • Online ISBN 978-3-642-15880-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site