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This paper presents a Divide-and-Conquer System based Neural Networks (DCSNN) for forecasting time series. This DCSNN is composed of several sub-RBF networks which takes each low-dimensional sub-input as its input. The output of DCSNN is the sum of each sub-RBF networks' output. The algorithm of DCRBF is given and its forecasting ability also is discussed in this paper. The experimental results have...
Data mining technology has been applied to library management. In this paper, Boustead College Library Information Management System in the history of circulation records, the reader information and collections as a data source, using the Microsoft SQL Server 2005 as a data mining tool, applying data mining algorithm as cluster, association rules and time series to identify characteristics of the...
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