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
Cite
CITATION STYLE
APA
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
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free