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Introduction: recent Developments in Parallel and Distributed Data Mining

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Distributed and Parallel Databases, (2002)This is an introduction to four articles about Knowledge Discovery in Databases, KDD. It makes the statement that the key challenge in data mining is the extraction of knowledge and insight from massive databases. Data mining has the two primary goals of prediction and verification. Prediction is about predicting the unknown values of attributes of interest based on a trained model. The data mining process is being divided into data selection, data cleansing, data transformation, data reduction, data mining, algorithm selection, post processing, and interpolation..

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