The Online Books Page

Data mining

See also what's at Wikipedia, your library, or elsewhere.

• Database searching

• Data mining -- Computer programs
• Data mining -- Law and legislation
• Data mining -- Moral and ethical aspects
• Data mining -- Social aspects

• Algorithmic knowledge discovery
• Factual data analysis
• KDD (Information retrieval)
• Knowledge discovery in databases
• Knowledge discovery in data
• Mining, Data

• Learning Data Science (c2023), by Sam Lau, Joseph Gonzalez, and Deborah Ann Nolan (illustrated HTML with commentary at learningds.org)
• Machine Learning for Data Streams, With Practical Examples in MOA (Cambridge, MA and London: MIT Press, c2017), by Albert Bifet, Ricard Gavaldà, Geoffrey Holmes, and Bernhard Pfahringer (HTML with commentary in New Zealand)
• Mining of Massive Datasets (version 2.1, c2014), by Jurij Leskovec, Anand Rajaraman, and Jeffrey D. Ullman (PDF files with commentary at mmds.org)
• Social Media Mining: An Introduction (prepublication draft, with supplementary materials; 2014), by Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu (PDF with commentary at asu.edu)
• Introduction to Data Science (version 3; c2013), by Jeffrey M. Stanton, contrib. by Robert W. De Graaf (PDF with commentary at Syracuse)
• Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications (c2012), ed. by Michael R. Berthold (PDF files with commentary at SpringerLink)
• Text Mining with R: A Tidy Approach (Creative Commons online edition; ca. 2019), by Julia Silge and David Robinson (illustrated HTML with commentary at tidytextmining.com)
• Python Data Science Handbook (c2016), by Jacob T. Vanderplas (illustrated HTML at Github and jupyter.org)
• A Whirlwind Tour of Python (Sebastopol, CA et al.: O'Reilly Media, c2016), by Jacob T. Vanderplas (PDF at oreilly.com)
• The Data Journalism Handbook (electronic first edition, c2012), ed. by Liliana Bounegru, Lucy Chambers, and Jonathan Gray (illustrated HTML with commentary at datajournalismhandbook.org)
• Python for Data Analysis (open access third edition; ca. 2022), by Wes McKinney (illustrated HTML with commentary at wesmckinney.com)
• The Data Journalism Handbook 2: Towards a Critical Data Practice (online edition, ca. 2021), ed. by Jonathan Gray and Liliana Bounegru (illustrated HTML with commentary at datajournalism.com)
• Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
• The Open Handbook of Linguistic Data Management (Cambridge, MA and London: MIT Press, c2021), ed. by Andrea L. Berez-Kroeker, Bradley James McDonnell, Eve Koller, and Lauren B. Collister (PDF files with commentary at MIT Press)
• Mining Social Media: Finding Stories in Internet Data (2019), by Lam Thuy Vo (HTML with commentary at socialdata.site)
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)
• digitalSTS: A Field Guide for Science and Technology Studies (Princeton: Princeton University Press, c2019), ed. by Janet Vertesi and David Ribes (PDF files and multimedia with commentary at digitalsts.net)
• Cloudera Impala (Sebastopol, CA et al: O'Reilly, c2014), by John Russell (page images at cloudera.com)

• R for Data Science (second edition, c2023), by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund (illustraterd HTML with commentary in New Zealand)
• R for Data Science (first edition, c2017), by Hadley Wickham and Garrett Grolemund (illustrated HTML with commentary in New Zealand)

• Building Legal Literacies for Text Data Mining (Berkeley: University of California, 2021), ed. by Rachael G. Samberg and Timothy Vollmer (multiple formats at PressBooks)

• Building Legal Literacies for Text Data Mining (Berkeley: University of California, 2021), ed. by Rachael G. Samberg and Timothy Vollmer (multiple formats at PressBooks)

• Ethics and Data Science (c2019), by Michael Kosta Loukides, Hilary Mason, and DJ Patil (HTML at oreilly.com)

• Bigger Than You: Big Data and Obesity (Goleta, CA: Punctum Books, c2016), by Katherine Behar (PDF with commentary at Punctum Books)

Items below (if any) are from related and broader terms.