Procedure Mining: Data Scientific Discipline Inward Activeness
There are six modules inwards this grade
Process mining is the missing link betwixt model-based process analysis too data-oriented analysis techniques. Through concrete data sets as well as easy to purpose software the course provides data scientific discipline knowledge that tin live applied direct to analyze and amend processes in a diverseness of domains.
Data science is the profession of the hereafter, because organizations that are unable to purpose (large) information inward a smart fashion volition non hold out. It is non sufficient to focus on data storage as well as data analysis. The information scientist too needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation as well as other business concern process direction techniques) as well as information-centric analysis techniques such equally motorcar learning as well as data mining. Process mining seeks the confrontation between effect data (one.e., observed demeanour) and process models (mitt-made or discovered automatically). This engineering science has go available exclusively late, only it tin be applied to any type of operational processes (organizations together with systems). Example applications include: analyzing handling processes in hospitals, improving customer service processes inwards a multinational, agreement the browsing behavior of customers using booking site, analyzing failures of a baggage treatment organisation, together with improving the user interface of an X-ray machine. All of these applications take in mutual that dynamic conduct needs to be related to process models. Hence, nosotros refer to this as "information science in activity".
The course explains the primal analysis techniques in procedure mining. Participants will learn various procedure find algorithms. These can be used to automatically learn process models from raw upshot information. Various other process analysis techniques that use issue data will live presented. Moreover, the course will render tardily-to-function software, existent-life data sets, together with practical skills to straight utilize the theory inwards a multifariousness of application domains.
This grade starts amongst an overview of approaches in addition to technologies that function upshot information to back up decision making as well as business process (re)pattern. Then the grade focuses on procedure mining every bit a span between information mining as well as business organization process modeling. The course is at an introductory level alongside various practical assignments.
The grade covers the 3 principal types of procedure mining.
i. The offset type of process mining is find. A find technique takes an consequence log as well as produces a procedure model without using whatever a-priori information. An case is the Alpha-algorithm that takes an issue log in addition to produces a procedure model (a Petri cyberspace) explaining the behaviour recorded inward the log.
two. The instant type of process mining is conformance. Here, an existing process model is compared amongst an upshot log of the same process. Conformance checking tin can live used to cheque if reality, every bit recorded in the log, conforms to the model as well as vice versa.
three. The third type of procedure mining is enhancement. Here, the thought is to extend or ameliorate an existing procedure model using data almost the actual process recorded in just about effect log. Whereas conformance checking measures the alignment betwixt model too reality, this third type of procedure mining aims at changing or extending the a-priori model. An case is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques tin live used inward an offline, only too online setting. The latter is known every bit operational back up. An example is the detection of non-conformance at the minute the departure actually takes home. Another instance is time prediction for running cases, ane.e., given a partially executed example the remaining processing fourth dimension is estimated based on historic information of similar cases.
Process mining provides non exclusively a span between data mining in addition to business process direction; it likewise helps to address the classical split betwixt "business concern" in addition to "IT". Evidence-based business concern procedure direction based on process mining helps to make a common earth for concern process improvement together with data systems evolution.
The form uses many examples using real-life effect logs to illustrate the concepts as well as algorithms. After taking this form, one is able to function procedure mining projects and accept a practiced agreement of the Business Process Intelligence field.
After taking this course y'all should:
- accept a skilful agreement of Business Process Intelligence techniques (inward particular process mining),
- empathize the office of Big Data inwards today’s lodge,
- live able to relate process mining techniques to other analysis techniques such equally simulation, business tidings, information mining, car learning, too verification,
- live able to utilize basic procedure find techniques to acquire a process model from an result log (both manually and using tools),
- live able to utilize basic conformance checking techniques to compare event logs together with process models (both manually as well as using tools),
- live able to extend a procedure model amongst information extracted from the consequence log (e.g., demonstrate bottlenecks),
- accept a skillful agreement of the information needed to get-go a procedure mining project,
- live able to characterize the questions that tin can live answered based on such event information,
- explain how process mining can as well live used for operational back up (prediction and recommendation), too
- be able to deport process mining projects in a structured manner.
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