Corpus ID: 17983920

An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model

@inproceedings{Sulzmann2008AnEC,
  title={An Empirical Comparison of Techniques for Selecting and Combining Local Patterns into a Global Model},
  author={Jan-Nikolas Sulzmann and J. F{\"u}rnkranz},
  year={2008}
}
  • Jan-Nikolas Sulzmann, J. Fürnkranz
  • Published 2008
  • Computer Science
  • Local pattern discovery, pattern set discovery and global modeling build together as consecutive steps a specific case of global pattern discovery. As each of these three steps have gained an increased attention in recent years, a great variety of techniques for each step have been proposed. Though so far there has been no systematic comparison of the possible choices. In this paper, we will consider a special representative of local patterns, namely class association rules, and evaluate… CONTINUE READING
    2 Citations

    Tables and Topics from this paper

    References

    SHOWING 1-10 OF 19 REFERENCES
    Pattern Teams
    • 107
    • PDF
    Constraint-Based Pattern Set Mining
    • 110
    • PDF
    An Algorithm for Multi-relational Discovery of Subgroups
    • 569
    • PDF
    Data mining tasks and methods: Subgroup discovery: deviation analysis
    • 18
    Classification using Association Rules
    • 14
    • PDF
    Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
    • 2,391
    • PDF
    Integrating Classification and Association Rule Mining
    • 2,496
    • PDF
    Maximally informative k-itemsets and their efficient discovery
    • 68
    • PDF