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>