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Algorithms and methods for analyzing large amounts of data are studied and developed. This paper presents a Data Mining (DM) method operated in grid computing environment. Because DM technology uses large amounts of data and requires costs to compute, utilizing and sharing computing data and resources are key issues in DM. Therefore, a Dynamic Load Balancing (DLB) algorithm and a decision range readjustment...
Principle component analysis (PCA) is a dimensionality reduction technique for data analysis and processing, and it is a linear method that can maximize the variance of data. In this paper, to achieve the high efficiency for data classification, nonlinear PCA using local probability is proposed. Parameters are extracted from each distribution of data and mapping function of data set is made using...
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