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New approaches for discovering exception and anomalous rules
Mining association rules is a well known framework for extracting useful knowledge from
databases. Despite their proven applicability there exist other approaches that also search …
databases. Despite their proven applicability there exist other approaches that also search …
[PDF][PDF] Gradual trends in fuzzy sequential patterns
Fuzzy sequential pattern mining is a relevant approach when dealing with temporally
annotated numerical data since it allows discovering frequent sequences embedded in the …
annotated numerical data since it allows discovering frequent sequences embedded in the …
Fuzzy gradual patterns: What fuzzy modality for what result?
Gradual Patterns allow to express frequent patterns like “the older an employee, the higher
his/her income”. After having been extensively used for fuzzy command (eg,“the closer the …
his/her income”. After having been extensively used for fuzzy command (eg,“the closer the …
Mining gradual dependencies based on fuzzy rank correlation
HW Koh, E Hüllermeier - … Soft Computing and Statistical Methods in Data …, 2010 - Springer
We propose a novel framework and an algorithm for mining gradual dependencies between
attributes in a data set. Our approach is based on the use of fuzzy rank correlation for …
attributes in a data set. Our approach is based on the use of fuzzy rank correlation for …
Processing contradiction in gradual itemset extraction
Gradual itemsets of the form “the more/less A, the more/less B” extract knowledge in the form
of correlations between attributes. The methods for extracting such itemsets can generate …
of correlations between attributes. The methods for extracting such itemsets can generate …