爆发 发表于 2025-3-21 18:16:43
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Data Cleansing: A Prelude to Knowledge Discovery surveyed and reviewed and a brief overview of existing data cleansing tools is given. A general framework of the data cleansing process is presented as well as a set of general methods that can be used to address the problem. The applicable methods include statistical outlier detection, pattern matAltitude 发表于 2025-3-22 03:49:49
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Dimension Reduction and Feature Selectionge data sets. Reducing dimensionality (the number of attributed or the number of records) can effectively cut this cost. This chapter focuses a pre-processing step which removes dimension from a given data set before it is fed to a data mining algorithm. This work explains how it is often possible tALOFT 发表于 2025-3-22 13:03:36
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Supervised Learningsed in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as performance evaluation techniques and challenges for data mining tasks.LAPSE 发表于 2025-3-23 03:47:51
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Bayesian Networksntal aspects of Bayesian networks and some of their technical aspects, with a particular emphasis on the methods to induce Bayesian networks from different types of data. Basic notions are illustrated through the detailed descriptions of two Bayesian network applications: one to survey data and one