## 4 Experimental Discovery and Analytics
### Experimental Analytics
#### 4.3.3 Work Transference Occurrences  
Finally, the most important results of the experimental analytics, which are directly related to the main subject of this work, are depicted in Figures 12-14. We found numerous work transferences through which work was transferred to the performer itself. We therefore need to examine more closely into the dataset and obtain detailed analysis results, as shown in Figure 12. As the figure indicates, 22 performers transferred their work (10\(\sim\)29 differently named activities) to themselves, and as an example, performer '97d224' transferred 14,116 work items to him/herself and was involved in performing 19 different types of activities in the underlying workflow model as well. The main analytics of this paper is to inspect the statistical measures and patterns of the work transferences in the event logs of the BPIC 2018 dataset. Based on the results analyzed using the implemented system, we observed that 5911 different cases of work transferences occurred during the period in which the underlying workflow model of the dataset was enacted. Table 2 shows the details of numerous involved activities for each of the different cases. Additionally, Figures 13 and 14 show the detailed number of work transferences among the performers, of which the numbers of their activities involved, as shown in the graphs, are nine and ten, respectively. As an instance from the graph in Figure 13, the performer fb5 fa8 transferred 1497 times of works to performer 727,350, and nine differently named activities were involved. One more example of a work transference from the graph in Figure 14 is that of performer 019,209 to performer fcb55b. We can interpret this example as 019209 transferred work to fcb55b 735 times, where ten differently named activities were involved.  
Figure 9: (**a**) Measured occurrences of all the performers and (**b**) the part of the measurement results, centered on the performer group with moderate occurrences.  
Figure 10: Activities and their enacted occurrences.  
Figure 11: Automatic programs without human interference and their occurrences.  
Figure 12: Performers with the number of transferring works to themselves (10 or more different involved activities).  
Figure 14: Performers with the number of transferring works to others (10 or more different involved activities).  
Figure 13: Performers with the number of transferring works to others (nine different involved activities).  
To summarize, we obtained many different types of primitive knowledge pertaining to the discovered work transference network, but we did not introduce all of them. However, we paid close attention to several extraordinary facts discovered through this experimental analytics, including the fact that work transference behaviors occurred with performer 727,350, who performed activities 748,950 times, as well as the names of the activities and invoked applications that were enacted in extraordinary number during the period of enacting the underlying workflow model. We leave the interpretations and understanding of these phenomena and the usage of these experimental results on the reengineering and redesigning of the underlying workflow model as future work.