The CDESF toolkit: An introduction

Davide Mora, Paolo Ceravolo, Ernesto Damiani, Gabriel Marques Tavares

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


Real-time response is crucial in many business process scenarios, however, few tools support the online processing of Process Mining tasks. In this paper, we present Concept Drift in Event Stream Framework (CDESF), a tool focused on concept drift detection that also supports several online Process Mining tasks. CDESF highlights the process model evolution during the stream processing and alerts the detection of new drifts aided by an online clustering layer. This paper presents CDESF as a tool that is available for the community and process practitioners.

Original languageBritish English
Pages (from-to)47-50
Number of pages4
JournalCEUR Workshop Proceedings
StatePublished - 2020
Event2020 ICPM Doctoral Consortium and Tool Demonstration Track, ICPM-D 2020 - Padua, Italy
Duration: 4 Oct 20209 Oct 2020


  • Clustering
  • Concept drift detection
  • Online process mining
  • Process model graph


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