scholarly journals Business process mining from e-commerce event web logs: Conformance checking and bottleneck identification

2021 ◽  
Vol 729 (1) ◽  
pp. 012133
Author(s):  
M Siek ◽  
R M G Mukti
Keyword(s):  
Business Process ◽  
Process Mining ◽  
Conformance Checking ◽  
Web Logs ◽  
Bottleneck Identification ◽  
Business Process Mining

scholarly journals Business Process Mining from E-Commerce Web Logs

2013 ◽  
pp. 65-80 ◽  
Author(s):  
Nicolas Poggi ◽  
Vinod Muthusamy ◽  
David Carrera ◽  
Rania Khalaf
Keyword(s):  
Business Process ◽  
Process Mining ◽  
Web Logs ◽  
Business Process Mining

scholarly journals Business process mining

2017 ◽  
Vol 01 (01) ◽  
pp. 1630004 ◽  
Author(s):  
Asef Pourmasoumi ◽  
Ebrahim Bagheri
Keyword(s):  
Process Mining ◽  
Status Quo ◽  
Process Models ◽  
Added Value ◽  
Conformance Checking ◽  
Event Logs ◽  
Organizational Information ◽  
Organization Process ◽  
The Status ◽  
Business Process Mining

One of the most valuable assets of an organization is its organizational data. The analysis and mining of this potential hidden treasure can lead to much added-value for the organization. Process mining is an emerging area that can be useful in helping organizations understand the status quo, check for compliance and plan for improving their processes. The aim of process mining is to extract knowledge from event logs of today’s organizational information systems. Process mining includes three main types: discovering process models from event logs, conformance checking and organizational mining. In this paper, we briefly introduce process mining and review some of its most important techniques. Also, we investigate some of the applications of process mining in industry and present some of the most important challenges that are faced in this area.

Generating event logs from non-process-aware systems enabling business process mining

2011 ◽  
Vol 5 (3) ◽  
pp. 301-335 ◽  
Author(s):  
Ricardo Pérez-Castillo ◽  
Barbara Weber ◽  
Jakob Pinggera ◽  
Stefan Zugal ◽  
Ignacio García-Rodríguez de Guzmán ◽  
...  
Keyword(s):  
Business Process ◽  
Process Mining ◽  
Event Logs ◽  
Business Process Mining
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