Editorial: Data Mining Lessons Learned

  • Lavrač N
  • Motoda H
  • Fawcett T
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Abstract

Is concerned with finding interesting patterns in . Many techniques have emerged for analyzing and visualizing large volumes of . What one finds in the technical literature are mostly success stories of these techniques. Researchers rarely report on steps

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Lavrač, N., Motoda, H., & Fawcett, T. (2004). Editorial: Data Mining Lessons Learned. Machine Learning, 57(1–2), 5–11. https://doi.org/10.1023/b:mach.0000035515.33403.6b

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