Corpus ID: 9974213

NOEMON: An Intelligent Assistant for Classifier Selection

@inproceedings{Spiliopoulou2007NOEMONAI,
  title={NOEMON: An Intelligent Assistant for Classifier Selection},
  author={M. Spiliopoulou and A. Kalousis and L. Faulstich and Theoharis Theoharisy},
  year={2007}
}
  • M. Spiliopoulou, A. Kalousis, +1 author Theoharis Theoharisy
  • Published 2007
  • Computer Science
  • The selection of an appropriate classification model and algorithm is crucial for effective knowledge discovery on a dataset. For large databases, as they are common in data mining, such a selection is necessary, because the cost of invoking all alternative classifiers is prohibitive. This selection task is impeded by two factors: First, there are many performance criteria, and the behaviour of a classifier varies considerably with them. Second, a classifier’s performance is strongly affected… CONTINUE READING
    8 Citations

    References

    SHOWING 1-10 OF 25 REFERENCES
    Data Mining Using MLC a Machine Learning Library in C++
    • 272
    • PDF
    Machine learning
    • 13,578
    • PDF
    Consultant-2: pre- and post-processing of Machine Learning applications
    • 33
    • PDF
    Characterization of Classification Algorithms
    • 132
    Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
    • 2,758
    • PDF
    Generalizing from Case studies: A Case Study
    • D. Aha
    • Mathematics, Computer Science
    • ML
    • 1992
    • 281
    Characterization of Classiication Algorithms
    • P. BrazdilLIACC
    • 1995
    • 12
    • Highly Influential