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Data mining aims to discover useful patterns (rules) in large datasets. In order to enhance the interestingness of the patterns produced, we propose an algorithm to mine both association and correlation patterns among items. In the mining process the all-confidence and correlation-confidence measures are adopted simultaneously. The effectiveness of the proposed approach is demonstrated with the experiment...
In business intelligence analysis, as an important tool, data mining can supply valuable knowledge to business company. This paper uses seller's commodity sale time series data to investigate the correlations among commodity through data mining. Different from the traditional individual commodity correlation analysis, for reflecting the correlation among commodities, this paper investigates the relationship...
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