Mining Frequent Instances on Workflows (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Mining Frequent Instances on Workflows (Articolo in rivista) (literal)

Anno

• 2003-01-01T00:00:00+01:00 (literal)

Alternative label

• Greco G., Guzzo Antonella, Manco Giuseppe, Saccà Domenico (2003)
  Mining Frequent Instances on Workflows
  in Lecture notes in computer science
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Greco G., Guzzo Antonella, Manco Giuseppe, Saccà Domenico (literal)

Pagina inizio

• 209 (literal)

Pagina fine

• 221 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 2637- (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Titolo

• Mining Frequent Instances on Workflows (literal)

Abstract

• A workflow is a partial or total automation of a business process,
  in which a collection of \emph{activities} must be executed by
  humans or machines, according to certain procedural rules. This
  paper deals with an aspect of workflows which has not so far
  received much attention: providing facilities for the human system
  administrator to monitor the actual behavior of the workflow
  system in order to predict the ``most probable'' workflow
  executions. In this context, we develop a data mining algorithm
  for identifying frequent patterns, i.e., the workflow
  substructures that have been scheduled more frequently by the
  system. Several experiments show that our algorithm outperforms
  the standard approaches adapted to mining frequent instances. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Lecture notes in computer science (Rivista)