Health Information and Research, Center for (CHIR)

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Supervised learning Engineering & Materials Science
Process monitoring Engineering & Materials Science
Data mining Engineering & Materials Science
Feature extraction Engineering & Materials Science
Statistics Engineering & Materials Science
Availability Engineering & Materials Science
Statistical process control Engineering & Materials Science
Classifiers Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2013

  • 2 Conference contribution
  • 2 Article

An associative based approach to analyzing an online learning environment

Azarnoush, B., Bekki, J. M., Bernstein, B. L. & Runger, G. C., 2013, ASEE Annual Conference and Exposition, Conference Proceedings.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data mining

Change-point detection with supervised learning and feature selection

Eruhimov, V., Martyanov, V., Tuv, E. & Runger, G. C., 2007, ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings. Vol. ICSO, p. 359-363 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Feature extraction
26 Citations

Process monitoring for mean shifts for multiple stage processes

Jearkpaporn, D., Borror, C. M., Runger, G. C. & Montgomery, D. C., Dec 2007, In : International Journal of Production Research. 45, 23, p. 5547-5570 24 p.

Research output: Contribution to journalArticle

Process monitoring
Mean shift