Istituto di Scienza e Tecnologie dell'Informazione     
Nanni M., Rigotti C. Quantitative episode trees. In: Workshop on Knowledge Discovery in Inductive Databases. KDID'06 (Berlin, Germany, 18 settembre 2006).
Among the family of the local patterns, episodes are com- monly used when mining a single or multiple sequences of discrete events. An episode re°ects a qualitative relation is-followed-by over event types, and the reŻnement of episodes to incorporate quantitative temporal in- formation is still an on going research, with many application opportu- nities. In this paper, focusing on serial episodes, we design such a reŻne- ment called quantitative episodes and give a corresponding extraction algorithm. The three most salient features of these quantitative episodes are: (1) their ability to characterize main groups of homogeneous behav- iors among the occurrences, according to the duration of the is-followed- by steps, and providing quantitative bounds of these durations organized in a tree structure; (2) the possibility to extract them in a complete way; and (3) to perform such extractions at the cost of a limited overhead with respect to the extraction of standard episodes.
Subject Sequential patterns
I.5.2 Design Methodology

Icona documento 1) Download Document PDF

Icona documento Open access Icona documento Restricted Icona documento Private


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional