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Erlbaum-The Handbook of Data Mining

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    Authored by international researchers in academia and industry, 28 contributions aim to present a comprehensive treatment of the methodologies, management, and applications of data mining.
    Each concept or tool is illustrated by simple examples and real-world applications. A sampling of topics includes Bayesian data analysis, security issues, and performance analysis and evaluation. Some of the applications described include the mining of human performance data, geospatial data, and manufacturing quality data.

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