Notice of RetractionApply data mining to predict teachers´ position settlement: A case study of university

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Data mining has attracted a great deal of attention in higher education in recent years, not only in student´s management, but also teacher´s management, such as individualized personnel training, prediction and comparison on students´ achievement, online teaching, teaching effectiveness evaluation, and so on. However, the research and application of data mining technology to teachers´ position settlement have not yet carried out. This paper utilizes the famous data mining software SPSS Clementine to two-step cluster analyze teachers´ position settlement, and shows through an example. This paper can provide strong information support for administrators to set positions, thus deepen reformation.