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Pearson, Ronald K., 1952-
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Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as misalignment errors, are virtually certain to be present. Mining Imperfect Data describes in detail a number of these problems, as well as their sources, their consequences, their detection, and their treatment. Specific strategies for data pretreatment and analytical validation that are broadly applicable are described, making them useful in conjunction ...
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Philadelphia : Society for Industrial and Applied Mathematics, 2005
e20443143
eBooks Universitas Indonesia Library
