Book Volume 5211 2008

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I


ISBN: 978-3-540-87478-2 (Print) 978-3-540-87479-9 (Online)

Table of contents (62 chapters)

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  1. Front Matter

    Pages -

  2. Invited Talks (Abstracts)

    1. Chapter

      Pages 1-1

      Industrializing Data Mining, Challenges and Perspectives

    2. Chapter

      Pages 2-2

      From Microscopy Images to Models of Cellular Processes

    3. Chapter

      Pages 3-4

      Data Clustering: 50 Years Beyond K-means

    4. Chapter

      Pages 5-5

      Learning Language from Its Perceptual Context

    5. Chapter

      Pages 6-6

      The Role of Hierarchies in Exploratory Data Mining

  3. Machine Learning Journal Abstracts

    1. Chapter

      Pages 7-7

      Rollout Sampling Approximate Policy Iteration

    2. Chapter

      Pages 8-8

      New Closed-Form Bounds on the Partition Function

    3. Chapter

      Pages 9-10

      Large Margin vs. Large Volume in Transductive Learning

    4. Chapter

      Pages 11-11

      Incremental Exemplar Learning Schemes for Classification on Embedded Devices

    5. Chapter

      Pages 12-12

      A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity

    6. Chapter

      Pages 13-13

      A Critical Analysis of Variants of the AUC

    7. Chapter

      Pages 14-14

      Improving Maximum Margin Matrix Factorization

  4. Data Mining and Knowledge Discovery Journal Abstracts

    1. Chapter

      Pages 15-15

      Finding Reliable Subgraphs from Large Probabilistic Graphs

    2. Chapter

      Pages 16-16

      A Space Efficient Solution to the Frequent String Mining Problem for Many Databases

    3. Chapter

      Pages 17-17

      The Boolean Column and Column-Row Matrix Decompositions

    4. Chapter

      Pages 18-18

      SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs

    5. Chapter

      Pages 19-19

      Mining Conjunctive Sequential Patterns

    6. Chapter

      Pages 20-21

      Adequate Condensed Representations of Patterns

    7. Chapter

      Pages 22-22

      Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data

  5. Regular Papers

    1. Chapter

      Pages 23-38

      TOPTMH: Topology Predictor for Transmembrane α-Helices

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