Process Mining:Data science in action 学习笔记
Process Mining:Data science in action 学习笔记
P2 1-1:
4 V’s of Big Data
- VOLUME 量大
- VELOCITY 数据增长速度
- VARIETY 种类多
- VERACITY 真实性
Is on the interplay between event data and processes, and process models.
Process mining use cases

P3 1-2:
Three types of mining :
- Process discovery 流程发现
- Performance checking 一致性检查
- Enhancement 增强
It is not just about collecting data , it's about analyzing processes.
That is one of the key things.
Event Log Table :
Every line, corresponds to an event .
Three types of relationships between models and event data:
-
Play-Out
-
Play-In
-
Replay
Play-out is about the classical use of process models not involing any event data.
Play-in corresponds to discovery.

Play Out:

Single execution for single trace:

Many execution for many traces:

P4 1-3:

Process Discovery
For example:

We can see a sentence and compare that to atrace in an event log, and we can think of the language as a process model.
P5 1-4:
decision tree:



本文来自博客园,作者:无尽白日梦,转载请注明原文链接:https://www.cnblogs.com/endless-daydream/p/16100640.html

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