Quantitative episode trees (Comunicazione a convegno)

Type
Label
  • Quantitative episode trees (Comunicazione a convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Nanni M.; Rigotti C. (2006)
    Quantitative episode trees
    in Workshop on Knowledge Discovery in Inductive Databases. KDID'06, Berlin, Germany
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Nanni M.; Rigotti C. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Workshop on Knowledge Discovery in Inductive Databases. KDID'06 (Berlin, Germany, 18 settembre 2006). (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • 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 re¯nement 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 re¯ne- 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. (literal)
Titolo
  • Quantitative episode trees (literal)
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