The Research Of On Line Analytical Mining Technology And Its Application

On Line Analytical Mining integrates On Line Analytical Processing and Data Mining technology. These years it becomes an important new technology applied in Decision Support System. But the research on the basic theory, key technology, system model and technology of this aspect are not systematic.Reasonable and efficient system architecture ensures the perfect integration of On Line Analytical Processing and Data Mining. On Line Analytical Mining system architecture lies in concept model and logic model. These two models provide a theoretic guide in the implement of On Line Analytical Mining system. Based on the project background, the system architecture of SAFE-MIDSS is put forward.On Line Analytical Mining system is driven by transaction, so the optimization of transaction can improve system performance. According to On Line Analytical Mining transaction model, the cooperation of sub-transactions becomes one of the most important technologies to optimize the transaction. Using export data object, an improved the model to cooperate sub-transactions is put forwards. The improved model brings forward a thinking of cooperation management based on agent pool and separates data transaction from cooperation matching. As a result, it improves the data transport efficiency.The applications of On Line Analytical Mining bring a new request on the data mining algorithm. To improve mining ability, data mining should utilize the multi-dimension data. Three policies are given out to use the data mining algorithm in On Line Analytical Mining system.Outlier data mining is an important embranchment in data mining research. Based on the project background, an improved outlier data mining algorithm for time series data is given out. Based on the wavelet, the time to process data is shortened.A decision support system called SAFE-MIDSS is designed and implemented, based on technology and methods above. A detailed implementation of its data mining component is specified. It integrates several data mining method and realizes to analyze and find knowledge in data.