Pearson, Ronald K.
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Mining imperfect data: with examples in R and Python (2nd ed.)
Pearson R., SIAM, Philadelphia, PA, 2020. 184 pp. Type: Book (978-1-611976-26-7)
Data analysis--including both data mining and machine learning--has made a lot of progress in the past decade. Both the R and Python programming languages have been used to analyze data. The Achilles’ heel in this task is the handl...
Nov 19 2021
Mining imperfect data: dealing with contamination and incomplete records
Pearson R., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2005. 305 pp. Type: Book (9780898715828)
Data mining uses automated procedures to extract useful information and insight from large datasets. The prevalence of outliers, and missing or incomplete data, can invalidate the results obtained with standard analysis procedures. A few of these ...
Oct 27 2005
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