Connecting Databases with Process Mining: A Meta Model and Toolset

被引：19
作者：
de Murillas, E. Gonzalez Lopez [1 ,3 ]
Reijers, Hajo A. [1 ,2 ]
van der Aalst, Wil M. P. [1 ]
机构：
[1] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands
[2] Vrije Univ Amsterdam, Dept Comp Sci, Amsterdam, Netherlands
[3] Lexmark Enterprise Software, Gooimeer 12, NL-1411 DE Naarden, Netherlands
来源：
ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2016 | 2016年 / 248卷
关键词：
Process mining; Database; Data schema; Meta model; Event extraction;
D O I：
10.1007/978-3-319-39429-9_15
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Process Mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a trivial task and requires substantial domain knowledge. In addition, the result is a single view on the database in the form of a specific event log. If we desire to change our view, e.g. to focus on another business process, and generate another event log, it is necessary to go back to the source of data. This paper proposes a meta model to integrate both process and data perspectives, relating one to the other and allowing to generate different views from it at any moment in a highly flexible way. This approach decouples the data extraction from the application of analysis techniques, enabling its use in different contexts.
引用
收藏
页码：231 / 249
页数：19
相关论文
共 15 条
[1]  
BUIJS J, 2010, THESIS
[2]   Process Mining on Databases: Unearthing Historical Data from Redo Logs [J].
de Murillas, Eduardo Gonzalez Lopez ;
van der Aalst, Wil M. P. ;
Reijers, Hajo A. .
BUSINESS PROCESS MANAGEMENT, BPM 2015, 2015, 9253 :367-385
[3]   Improving business process intelligence by observing object state transitions [J].
Herzberg, Nico ;
Meyer, Andreas ;
Weske, Mathias .
DATA & KNOWLEDGE ENGINEERING, 2015, 98 :144-164
[4]  
Ingvaldsen JE, 2008, LECT NOTES COMPUT SC, V4928, P30
[5]  
Mahendrawathi E., 2015, P LECT NOTES BUSINES, P115, DOI DOI 10.1007/978-3-319-19509-4_9
[6]  
Meyer Andreas, 2013, Business Process Management. 11th International Conference, BPM 2013. Proceedings: LNCS 8094, P171, DOI 10.1007/978-3-642-40176-3_14
[7]  
Mueller-Wickop N, 2013, LECT NOTES COMPUT SC, V7939, P105
[8]  
Rosemann M., 1998, Australian Journal of Information Systems, V6, P103
[9]  
Sismanis Y., 2006, Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), P691
[10]  
Stolfa J., 2014, PROC 4 INT C INNOV B, V237, P61, DOI [10.1007/978-3-319-01781-5_6, DOI 10.1007/978-3-319-01781-5_6]
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