June 2011
Beginner to intermediate
744 pages
25h 11m
English
Content preview from Data Mining: Concepts and Techniques, 3rd EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
2.7 Bibliographic Notes
Methods for descriptive data summarization have been studied in the statistics literature long before the onset of computers. Good summaries of statistical descriptive data mining methods include Freedman, Pisani, and Purves [FPP07] and Devore [Dev95]. For statistics-based visualization of data using boxplots, quantile plots, quantile–quantile plots, scatter plots, and loess curves, see Cleveland [Cle93].
Pioneering work on data visualization techniques is described in The Visual Display of Quantitative Information [Tuf83], Envisioning Information [Tuf90], and Visual Explanations: Images and Quantities, Evidence and Narrative [Tuf97], all by Tufte, in addition to Graphics and Graphic Information Processing by Bertin