7 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.IT2012★ 7 cited
Categorization of interestingness measures for knowledge extraction
Sylvie Guillaume, Dhouha Grissa, Engelbert Mephu Nguifo
Finding interesting association rules is an important and active research field in data mining. The algorithms of the Apriori family are based on two rule extraction measures, supp…
cs.IT2010★ 5 cited
Combining Clustering techniques and Formal Concept Analysis to characterize Interestingness Measures
Dhouha Grissa, Sylvie Guillaume, Engelbert Mephu Nguifo
Formal Concept Analysis "FCA" is a data analysis method which enables to discover hidden knowledge existing in data. A kind of hidden knowledge extracted from data is association r…