Mining Event Logs to Assist the Development of Executable Process Variants

Abstract

International audienceDeveloping process variants has been proven as a principle task to flexibly adapt a business process model to different markets. Con-temporary research on variant development has focused on conceptual process models. However, process models do not always exist, even when process logs are available in information systems. Moreover, process logs are often more detailed than process models and reflect more closely to the behavior of the process. In this paper, we propose an activity rec-ommendation approach that takes into account process logs for assisting the development of executable process variants. To this end, we define a notion of neighborhood context for each activity based on logs, which captures order constraints between activities with their occurrence fre-quency. The similarity of the neighborhood context between activities provides us then with a basis to recommend activities during the process of creating a new process model. The approach has been implemented as a plug-in for ProM. Furthermore, we conducted experiments on a large collection of process logs. The results indicate that our approach is feasible and applicable in real use cases

Adaptive Recommendation-based Modeling Support for Data Analysis Workflows

“…Thereby, actual usage frequencies are taken into account, which is also the case in our recommendation techniques. Similar to our work, the authors of [4] propose to take the current modeling context into account and to generate recommendations depending on the selected activity in the workflow. The evaluation in [4] was based on artificially created execution logs as real-world execution logs were not available.…”

“…Similar to our work, the authors of [4] propose to take the current modeling context into account and to generate recommendations depending on the selected activity in the workflow. The evaluation in [4] was based on artificially created execution logs as real-world execution logs were not available. Generally, estimating the "relevance" of individual workflow models based on their usage (execution frequencies) could also be an interesting approach in our domain if such information were available.…”

“…The results reveal that the proposed hybrid method HYBRID-CTX performs best even in cold-start 4 The computer used in our experiments was equipped with 16GB RAM and an Intel i5 CPU. Table 3.…”

“…A different approach to generate recommendations using historical data was made in [4], where process execution logs were used instead of the models as a basis for mining cooccurrence patterns. Thereby, actual usage frequencies are taken into account, which is also the case in our recommendation techniques.…”

Log-Based Process Fragment Querying to Support Process Design

“…The work present in this paper is an extension of our recent work presented in [11,10]. In the previous work, we have introduced the activity neighborhood context.…”