Association rule mining for project performance measurement of Technology Transfer Centers in Thailand

In Thailand, there are many Technology Transfer Centers (TTC) located in every district of the country. However, the evaluation of their performance is difficult and complex since TTCs are different in size, location, type of training and expertise. Accordingly, the study of TTC project performance in Thailand is scanty due to the limitations of confidentiality. This study uses data mining techniques to analyze historical data of project profiles from Technology Transfer Centers (TTC) in Thailand. TTC data are segmented into groups according to their performance. This method is used to separate value centers from the inactive ones. Then a priori algorithm is applied to find the relationships within TTC features and project profiles of clusters having different performances. The results of this study will benefit the organization in exploiting it to bring about a competitive advantage and being able to improve the efficiency of TTC as well as its application to strategic planning.