A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs

Information Systems

Volumn 56, Issue , 2016, Pages 235-257

  De Leoni, Massimiliano ^a   Van Der Aalst, Wil M P ^a   Dees, Marcus ^b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Uitvoeringsinstituut Werknemersverzekeringen ^*  (Netherlands)

Author keywords

Decision and regression trees; Event log clustering; Event log manipulation; Process mining

Indexed keywords

COMPLIANCE CONTROL; INDUSTRIAL PLANTS;

ANALYSIS TECHNIQUES; CORRELATION ANALYSIS; EVENT-LOG CLUSTERING; EVENT-LOG MANIPULATION; PERFORMANCE PROBLEMS; PROCESS CHARACTERISTICS; PROCESS MINING; REGRESSION TREES;

DATA MINING;

EID: 84949624881     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2015.07.003     Document Type: Article

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