(Enter summary)
Abstract: Knowledge discovery in spatial databases raises challenging multirelational
data mining problems. A promising solution approach comes from
the field of inductive logic programming (ILP). In this paper, an ILP method
for spatial association rule mining is presented. It benefits from the available
prior knowledge on the spatial domain, systematically explores the hierarchical
structure of geographic layers, and deals with numerical aspatial properties of
spatial objects. The method has been ... (Update)
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BibTeX entry: (Update)
D. Malerba and F.A. Lisi, An ILP method for spatial association rule mining, Working notes of the First Workshop on Multi-Relational Data Mining, Freiburg, Germany, 2001, 18--29. http://citeseer.ist.psu.edu/malerba01ilp.html More
@misc{ malerba01ilp,
author = "D. Malerba and F. Lisi",
title = "An ILP method for spatial association rule mining",
text = "D. Malerba and F.A. Lisi, An ILP method for spatial association rule mining,
Working notes of the First Workshop on Multi-Relational Data Mining, Freiburg,
Germany, 2001, 18--29.",
year = "2001",
url = "citeseer.ist.psu.edu/malerba01ilp.html" }
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