(Enter summary)
Abstract: Propositionalization has already been shown to
be a particularly promising approach for robustly
and effectively handling relational data sets for
knowledge discovery. In this paper, we compare
up-to-date methods for propositionalization from
two main groups: logic-oriented and databaseoriented
techniques. Experiments using several
learning tasks - both ILP benchmarks and tasks
from recent international data mining competitions
- show that both groups have their specific
advantages.... (Update)
Cited by: More
Good and Bad Practices in Propositionalisation - Nicolas Lachiche Lsiit
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KYBERNET I KA --- VOLUME x x ( x x x x ) , NUMBER.. -..
(Correct)
Active bibliography (related documents): More All
1.0: Comparative Evaluation of Approaches to.. - Krogel, Rawles.. (2003)
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0.2: Local Patterns: Theory and Practice of Constraint-Based.. - Lavrac, Zelezny..
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0.2: Efektivn Prevod Multirelacn Databaze Na Jednorelacn - Reprezentaci Filip Zelezny
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BibTeX entry: (Update)
M. A. Krogel, S. Rawles, F. Zelezny, P. A. Flach, N. Lavrac, and S. Wrobel. Comparative evaluation of approaches to propositionalization. In Proceedings of the 13th Int. Conference on Inductive Logic Programming. Springer-Verlag, 2003. http://citeseer.ist.psu.edu/article/krogel03comparative.html More
@misc{ krogel03comparative,
author = "M. Krogel and S. Rawles and F. Zelezny and P. Flach and N. Lavrac and S.
Wrobel",
title = "Comparative evaluation of approaches to propositionalization",
text = "M. A. Krogel, S. Rawles, F. Zelezny, P. A. Flach, N. Lavrac, and S. Wrobel.
Comparative evaluation of approaches to propositionalization. In Proceedings
of the 13th Int. Conference on Inductive Logic Programming. Springer-Verlag,
2003.",
year = "2003",
url = "citeseer.ist.psu.edu/article/krogel03comparative.html" }
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