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» Exception Rules Mining Based on Negative Association Rules
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PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
FQAS
2000
Springer
137views Database» more  FQAS 2000»
13 years 9 months ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
DAWAK
2007
Springer
13 years 9 months ago
Extraction of Association Rules Based on Literalsets
In association rules mining, current trend is witnessing the emergence of a growing number of works toward bringing negative items to light in the mined knowledge. However, the amo...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
13 years 9 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
ICSE
2009
IEEE-ACM
14 years 7 days ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie