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A novel method is proposed to determine the minimum embedding dimension on the basis of the false nearest nodes (FNN) and the averaged false neighbors (AFN). We take all the false nearest nodes into account and develop two parameters G1 and G2 instead of E1 and E2 defined by AFN method for analyzing time series. Several short chaotic time series were tested. The proposed method shows more precise...
In this study, we develop a database management system which provides users with on-line Web services to build and manage their databases and perform parallel data mining on Internet. We exploit two different programming toolkits, i.e., MPI and DSM to parallelize association rules on PC clusters in order to minimize response time. In addition, we have evaluated the performance of these two programming...
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