Abstract: How to find useful information from massive data of national college entrance examination and admission (NCEEA) is one of the key issues of the provinces and cities admission offices(PCAO)，and it also attracts the attention of parents and examinees as well as all sectors of the society. Around this issue, a data warehouse and a data cube were built based on the admission data accumulated over the years in one province. Some potential and useful information was found through OLAP analysis and data mining analysis. Research and analysis represent that these information can provide decision-making support for the PCAO and can be important basis for guiding examinees to choose preference reasonably. This article focused on the process of building data warehouse and cube, the process of OI_AP analysis on admission related data and the result interpretation, the process of data mining by using decision tree algorithm and associate rule algorithm.

Key words: Data warehouse, OLAP, Data mining, Decision tree, Associate rule