A Unified and Flexible Framework for Comparing Simple and Complex Patterns [chapter]

Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis
2004 Lecture Notes in Computer Science  
One of the most important operations involving Data Mining patterns is computing their similarity. In this paper we present a general framework for comparing both simple and complex patterns, i.e., patterns built up from other patterns. Major features of our framework include the notion of structure and measure similarity, the possibility of managing multiple coupling types and aggregation logics, and the recursive definition of similarity for complex patterns.
doi:10.1007/978-3-540-30116-5_45 fatcat:icfrhsxa4zeafppyoq7zzxxioa