Chang-Long Jiang

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A data warehouse is an important decision support system with cleaned and integrated data for knowledge discovery and data mining systems. In reality, the data warehouse mining system has provided many applicable solutions in industries, yet there are still many problems causing users extra problems in discovering knowledge or even failing to obtain the(More)
Recently, the topic of constraint based association mining has received increasing attention within the data mining research community. By allowing more user specified constraints other than traditional rule measurements, e.g., minimum support and confidence, research work on this topic endeavor to reflect real interest of analysts and relief them from the(More)
The classical algorithms for mining association rule require the user to specify a support threshold to determine if an itemset is frequent or not. Unfortunately, the setting of support threshold is subjective without clear standard and has great influence on the mining results. In this paper we propose an intelligent minimum support suggestion framework(More)
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