A Temporal Work Transference Event Log Trace Classification Algorithm and Its Experimental Analysis
| Title | A Temporal Work Transference Event Log Trace Classification Algorithm and Its Experimental Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Pham, Dinh-Lam, Ahn, Hyun, Kim, Kwanghoon |
| Conference Name | 2019 21st International Conference on Advanced Communication Technology (ICACT) |
| ISBN Number | 979-11-88428-02-1 |
| Keywords | Analogies and Transference, Classification algorithms, data mining, History, hospitals, Human Behavior, human factors, information system, Information systems, Organizations, pattern classification, Planning, process mining, pubcrawl, system memory, temporal work transference event log trace classification algorithm, Temporal Work Transference Pattern, Trace Classification, workflow enactment event log, Workflow Event Log |
| Abstract | In the field of process mining, a lot of information about what happened inside the information system has been exploited and has yielded significant results. However, information related to the relationship between performers and performers is only utilized and evaluated in certain aspects. In this paper, we propose an algorithm to classify the temporal work transference from workflow enactment event log. This result may be used to reduce system memory, increase the computation speed. Furthermore, it can be used as one of the factors to evaluate the performer, active role of resources in the information system. |
| URL | https://ieeexplore.ieee.org/document/8701917 |
| DOI | 10.23919/ICACT.2019.8701917 |
| Citation Key | pham_temporal_2019 |
- pattern classification
- Workflow Event Log
- workflow enactment event log
- Trace Classification
- Temporal Work Transference Pattern
- temporal work transference event log trace classification algorithm
- system memory
- pubcrawl
- process mining
- Planning
- Analogies and Transference
- Organizations
- Information systems
- information system
- Human Factors
- Human behavior
- hospitals
- History
- Data mining
- Classification algorithms