Mining imperfect data : with examples in R and Python /

This second edition of Mining Imperfect Data reflects changes in the size and nature of the datasets commonly encountered for analysis, and the evolution of the tools now available for this analysis.

Bibliographic Details

Main Author:	Pearson, Ronald K., 1952- (Author)
Format:	Book
Language:	English
Published:	Philadelphia : Society for Industrial and Applied Mathematics, [2020]
Edition:	Second edition.
Series:	Mathematics in industry (Philadelphia, Pa.)
Subjects:	Data mining.