Mining Product Data Models: A Case Study
This paper presents two case studies used to prove the validity of some data-flow mining algorithms. We proposed the data-flow mining algorithms because most part of mining algorithms focuses on the control-flow perspective. First case study uses event logs generated by an ERP system (Navision) afte...
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| Format: | Article |
| Language: | English |
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Inforec Association
2014-01-01
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| Series: | Informatică economică |
| Subjects: | |
| Online Access: | http://www.revistaie.ase.ro/content/69/06%20-%20Dolean.pdf |
| Summary: | This paper presents two case studies used to prove the validity of some data-flow mining algorithms. We proposed the data-flow mining algorithms because most part of mining algorithms focuses on the control-flow perspective. First case study uses event logs generated by an ERP system (Navision) after we set several trackers on the data elements needed in the process analyzed; while the second case study uses the event logs generated by YAWL system. We offered a general solution of data-flow model extraction from different data sources. In order to apply the data-flow mining algorithms the event logs must comply a certain format (using InputOutput extension). But to respect this format, a set of conversion tools is needed. We depicted the conversion tools used and how we got the data-flow models. Moreover, the data-flow model is compared to the control-flow model. |
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| ISSN: | 1453-1305 1842-8088 |