Context-aware predictions on business processes: An ensemble-based solution (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Context-aware predictions on business processes: An ensemble-based solution (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

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

• 10.1007/978-3-642-37382-4_15 (literal)

Alternative label

• Folino, Francesco; Guarascio, Massimo; Pontieri, Luigi (2013)
  Context-aware predictions on business processes: An ensemble-based solution
  in 1st International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, Bristol, United Kingdom, 24 September 2012
  (literal)

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

• Folino, Francesco; Guarascio, Massimo; Pontieri, Luigi (literal)

Pagina inizio

• 215 (literal)

Pagina fine

• 229 (literal)

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

• http://www.scopus.com/record/display.url?eid=2-s2.0-84875834168&origin=inward (literal)

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

• Proceedings of the 1st International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012 (literal)

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

• 7765 LNAI (literal)

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

• 7765 LNAI (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• Scopu (literal)

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

• Istituto Di Calcolo E Reti Ad Alte Prestazioni, Rende (literal)

Titolo

• Context-aware predictions on business processes: An ensemble-based solution (literal)

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

• 9783642373817 (literal)

Abstract

• The discovery of predictive models for process performances is an emerging topic, which poses a series of difficulties when considering complex and flexible processes, whose behaviour tend to change over time depending on context factors. We try to face such a situation by proposing a predictive-clustering approach, where different context-related execution scenarios are equipped with separate prediction models. Recent methods for the discovery of both Predictive Clustering Trees and state-aware process performance predictors can be reused in the approach, provided that the input log is preliminary converted into a suitable propositional form, based on the identification of an optimal subset of features for log traces. In order to make the approach more robust and parameter free, we also introduce an ensemble-based clustering method, where multiple PCTs are learnt (using different, randomly selected, subsets of features), and integrated into an overall model. Several tests on real-life logs confirmed the validity of the approach. © 2013 Springer-Verlag. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)

Autore CNR

• LUIGI PONTIERI (Unità di personale interno)
• MASSIMO GUARASCIO (Unità di personale esterno)
• FRANCESCO PAOLO FOLINO (Unità di personale esterno)

Insieme di parole chiave

• Parole chiave di "Context-aware predictions on business processes: An ensemble-based solution" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)

Autore CNR di

• LUIGI PONTIERI (Unità di personale interno)
• MASSIMO GUARASCIO (Unità di personale esterno)
• FRANCESCO PAOLO FOLINO (Unità di personale esterno)

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

• Lecture notes in computer science (Rivista)

Insieme di parole chiave di

• Parole chiave di "Context-aware predictions on business processes: An ensemble-based solution" (Insieme di parole chiave)