This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
Protein-protein interactions are of great interest to biologists. A variety of high-throughput techniques have been devised, each of which leads to a separate definition of an int...
Christopher Besemann, Anne Denton, Ajay Yekkirala,...
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...