10.6084/m9.figshare.5619598.v2
Ana Rocío Cárdenas Maita
Ana Rocío Cárdenas
Maita
Lucas Corrêa Martins
Lucas Corrêa
Martins
Carlos Ramón López Paz
Carlos Ramón López
Paz
Laura Rafferty
Laura
Rafferty
Patrick C. K. Hung
Patrick C. K.
Hung
Sarajane Marques Peres
Sarajane Marques
Peres
Marcelo Fantinato
Marcelo
Fantinato
A systematic mapping study of process mining
Taylor & Francis Group
2017
Data mining
machine learning
computational intelligence
business process management
process mining
systematic review
2017-11-25 05:28:03
Journal contribution
https://tandf.figshare.com/articles/journal_contribution/A_systematic_mapping_study_of_process_mining/5619598
<p>This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.</p>