The Online Books Page

Internet searching

Here are entered works on using various Internet tools and search engines effectively to find information. Works on using the Internet to conduct research are entered under Internet research. Works on computer network resources available for research in various fields are entered under Computer network resources.

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

• Electronic information resource searching

• Internet searching -- Handbooks, manuals, etc.
• Web search engines

• Searching the Internet
• Web searching
• World Wide Web searching

• Untangling the Web: A Guide to Internet Research (unclassified version, slightly redacted; Fort Meade, MD: Center for Digital Content, National Security Agency, 2007), by Robyn Winder, contrib. by Charlie Speight (PDF at nsa.gov)
• Elasticsearch: The Definitive Guide (Creative Commons edition; c2015), by Clinton Gormley and Zachary Tong (HTML with commentary at elastic.co)
• 55 Ways to Have Fun With Google: A Cabinet of Search Engine Curiosities, Riddles, Games, and a Little Bit of Usefulness (2006), by Philipp Lenssen (multiple formats with commentary at 55fun.com)
• Introduction to Art Image Access: Issues, Tools, Standards, and Strategies (Los Angeles: Getty Information Institute, c2002), ed. by Murtha Baca, contrib. by Patricia Harpring, Colum Hourihane, Sara Shatford Layne, and Christine L. Sundt (PDF and page images with commentary at getty.edu and Google)

• Internet Informed: Guidance for the Dedicated Searcher (text and audio versions; Toorak, Victoria: Spire Project, c2007), by David Novak (PDF and MP3 files at spireproject.com)

• Elasticsearch: The Definitive Guide (Creative Commons edition; c2015), by Clinton Gormley and Zachary Tong (HTML with commentary at elastic.co)
• Untangling the Web: A Guide to Internet Research (unclassified version, slightly redacted; Fort Meade, MD: Center for Digital Content, National Security Agency, 2007), by Robyn Winder, contrib. by Charlie Speight (PDF at nsa.gov)
• 55 Ways to Have Fun With Google: A Cabinet of Search Engine Curiosities, Riddles, Games, and a Little Bit of Usefulness (2006), by Philipp Lenssen (multiple formats with commentary at 55fun.com)

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

• Masked by Trust: Bias in Library Discovery (Sacramento: Litwin Books, 2019), by Matthew Reidsma (PDF with commentary at reidsrow.com)

• Searching for Sharing: Heritage and Multimedia in Africa (Cambridge, UK: Open Book Publishers, c2017), ed. by Daniela Merolla and Mark Turin (multiple formats with commentary at Open Book Publishers)

• 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)
• 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)
• 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 (prepublication version, c2016), by Hadley Wickham and Garrett Grolemund (HTML with commentary in New Zealand)

• 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)

• Masked by Trust: Bias in Library Discovery (Sacramento: Litwin Books, 2019), by Matthew Reidsma (PDF with commentary at reidsrow.com)