Bridging Abstraction Layers in Process Mining by Automated Matching of Events and Activities
نویسندگان
چکیده
ion of event logs – Example Event Log Abstraction | Thomas Baier | 27 August 2013 3 Incident logging Incident classification & categorization Initial diagnosis Functional escalation Investigation and diagnosis Resolution and recovery Incident closure x x Case 1: Group, Classification, Details,..., Details,.............................................., Document solution, ............................, Close ticket Case 2: Group, Classification, Select CI, Details,.............................................., Document solution, ............................, Close ticket Case 3: Group, Classification, Select CI, Details,..., Group, .... Select CI, ..., Document solution, ..., Select CI,...., Close ticket Case 4: Group, ..................., Select CI, Details,.............................................., Document solution, ..., Select CI, ........., Close ticket Case 5: Group, Classification, Select CI, Details....., Group, .........................., Document solution, ..., Select CI, ........., Close ticket Case 6: Details, Group, ..............................................................................., Document solution, ..................... ......, Close ticket Event log Trace: Case 3 Event class: Select CI Timestamp: 12.06.2013 16:45:10 Resource: Carla Coe Role: 2nd level Component: Mail Server 123 Trace: Case 3 Event class: Select CI Timestamp: 13.06.2013 09:45:56 Resource: Carla Coe Role: 2nd level Component: Hard disk 1234 Trace: Case 5 Event class: Classification Timestamp: 15.06.2013 11:35:00 Resource: John Doe Role: 1st level Classification:E-Mail Trace: Case 3 Event class: Select CI Timestamp: 12.06.2013 10:25:00 Resource: John Doe Rol : 1st level Component: Mail cli nt XYZ
منابع مشابه
Bridging abstraction layers in process mining
While the maturity of process mining algorithms increases and more process mining tools enter the market, process mining projects still face the problem of different levels of abstraction when comparing events with modeled business activities. Current approaches for event log abstraction try to abstract from the events in an automated way that does not capture the required domain knowledge to f...
متن کاملConcept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
متن کاملVideo Abstraction in H.264/AVC Compressed Domain
Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...
متن کاملارزیابی رابطه SCS در تعیین تلفات اولیه باران در حوضه های آبریز
The main scope of this research is evaluation of Soil Conservation Service Procedure in derivation of initial abstraction of precipitation in watershed scale. For this purpose Dalaki watershed which is located in south east of Iran was selected then by using hec-hms and GIS models and a number of observed rainfall runoff events some parameters like CN of watershed ,K and X of Muskingam meth...
متن کامل