Mission of Industrial Artificial Intelligence (IAI Lab) #
- Manufacturing Intelligence (w/ Machine Learning and Deep Learning)
- Operational Intelligence (w/ Process Mining and Decision Science)
- Business Intelligence (w/ Data Warehousing and Data Mining)
The topics of IAI Laboratory can be visualized as the following word cloud:
- Process Mining
Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011).
![[http]](http://iai.khu.ac.kr/wiki/imgs/http.png)
http://www.win.tue.nl/ieeetfpm
- IEEE Task Force on Process Mining
- Process Mining Manifesto (English, Korean, and other languages)
- Process Mining Book
- Business Intelligence and Analytics (BIA)
Business performance management is crucial in business process management. For example, BSC (balanced score card) can be used for a major tool of monitoring and assessing the business performance. Business intelligence (BI) is the technique for business performance monitoring and assessment, while business analytics (BA) is the technique for finding out the solution for continuous improvement in business process.
국가
대한민국
소속기관
경희대학교 (학교)
연락처
031-201-3663 http://iai.khu.ac.kr/wiki/wiki.php
책임자
정재윤 khu.iailab@gmail.com
