Sebastiaan J. van Zelst: Process Mining in Python | PyData Eindhoven 2019

https://www.youtube.com/watch?v=i6NGHvZyHXY 

1. What is Process Mining?

a. Obtaining knowledge of, and insights in, processes by means of analyzing the event data, generated during the execution of the process.

 

2. Introduction to Process Mining - Event Data

3. Applying Process Mining - Overview

4. Applying Process Mining - Process Discovery

When you apply this process discovery in real data, if you extract data from an information system, it doesn't necessarily show the full process.

 

a. 실무에서 문제점

- 데이터가 몇 개의 클래스로 분류될지 모름

- 데이터 정합성 이슈

 

 

5. Applying Process Mining - Conformance Checking

 

a. Conformance Check에서는 실제 프로세스 과정과 데이터가 맞나 체크함.

b. 아래 캡쳐에서는 add Item이전에 remove item이 먼저 있음 -> 이런걸 체크 (add를 해야 remove를 하지)

 

c. Conformance Checking에서 체크해야할 부분

    i. Are there deviations in the process executions compared to a reference model?

    ii. Determine severity/costs of deviations

    iii. Root cause analysis.

 

 

6. Process Mining in Python - PM4Py

    a. Flask와 Angular 기반 라이브러리

    b.