Database searchingSee also what's at your library, or elsewhere.
Broader term:Narrower terms:Used for:- Data base searching
- Database search strategies
- Searching databases
- Search strategies in databases
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Filed under: Database searching -- CongressesFiled under: Database searching -- Handbooks, manuals, etc.
Filed under: Database searching -- United States -- Handbooks, manuals, etc.- GPO Access training booklet : a service of the Government Printing Office. (Office of Electronic Information Dissemination Services, in the 1990s), by United States. Superintendent of Documents. Office of Electronic Information Dissemination Services (page images at HathiTrust)
- Government Printing Office Access training manual (Office of Electronic Information Dissemination Services, 2001), by United States. Superintendent of Documents. Office of Electronic Information Dissemination Services (page images at HathiTrust)
- DLIS procedures manual (Defense Logistics Agency, Defense Logistics Services Center, 1986), by Defense Logistics Services Center (U.S.) (page images at HathiTrust)
- Government Printing Office Access training manual, special insert A (Office of Electronic Information Dissemination Services, 2003), by United States. Superintendent of Documents. Office of Electronic Information Dissemination Services (page images at HathiTrust)
Filed under: Database searching -- Japan
Filed under: Database searching -- Study and teaching -- United StatesFiled under: Database searching -- United States
Filed under: Data mining -- United States- Data mining : current applications and future possibilities : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundred Eighth Congress, first session, March 25, 2003. (U.S. G.P.O. :, 2003), by Information Policy United States. Congress. House. Committee on Government Reform. Subcommittee on Technology (page images at HathiTrust)
- Can the use of factual data analysis strengthen national security? : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundred Eighth Congress, first session. (U.S. G.P.O. :, 2004), by Information Policy United States. Congress. House. Committee on Government Reform. Subcommittee on Technology (page images at HathiTrust)
- Strengthening education research and privacy protections to better serve students : hearing before the Committee on Education and the Workforce, U.S. House of Representatives, One Hundred Fourteenth Congress, second session, hearing held in Washington, DC, March 22, 2016. (Washington : U.S. Government Publishing Office, 2016., 2016), by United States. Congress. House. Committee on Education and the Workforce (page images at HathiTrust)
Filed under: Data mining -- United States -- EvaluationFiled under: Web usage mining -- United States- Behavioral advertising : industry practices and consumers' expectations : joint hearing before the Subcommittee on Commerce, Trade, and Consumer Protection and the Subcommittee on Communications, Technology, and the Internet of the Committee on Energy and Commerce, House of Representatives, One Hundred Eleventh Congress, first session, June 18, 2009. (U.S. G.P.O. :, 2012), by Trade United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Commerce and Technology United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Communications (page images at HathiTrust)
- Privacy implications of online advertising : hearing before the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Tenth Congress, second session, July 9, 2008. (U.S. G.P.O. :, 2012), by United States Senate Committee on Commerce, Science, and Transportation (page images at HathiTrust)
Filed under: Data mining -- Access control -- United StatesFiled under: Data mining -- Government policy -- United StatesFiled under: Data mining -- Law and legislation -- Study and teaching -- United StatesFiled under: Data mining- 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)
- Data mining and data warehousing (Association of Research Libraries, Office of Leadership and Management Services, 2003), by Barbara Mento, Brendan Rapple, and Association of Research Libraries. Office of Leadership and Management Services (page images at HathiTrust; US access only)
Filed under: Data mining -- Computer programs
Filed under: Data mining -- Finance
Filed under: Data mining -- Moral and ethical aspectsFiled under: Data mining -- Periodicals
More items available under narrower terms. |