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» On Subjective Measures of Interestingness in Knowledge Disco...
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CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 24 days ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
SDM
2011
SIAM
230views Data Mining» more  SDM 2011»
12 years 10 months ago
Multidimensional Association Rules in Boolean Tensors
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 27 days ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
FQAS
2006
Springer
101views Database» more  FQAS 2006»
13 years 11 months ago
Cooperative Discovery of Interesting Action Rules
Action rules introduced in [12] and extended further to e-action rules [21] have been investigated in [22], [13], [20]. They assume that attributes in a database are divided into t...
Agnieszka Dardzinska, Zbigniew W. Ras