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Data Mining

Data mining is the practice of extracting data from published data sets, websites, or text to form new data sets by using pattern recognition or other knowledge discovery techniques. “The functions or models of data mining can be categorized according to the task performed: association, classification, clustering, and regression” (Siguenza-Guzman, et al., 2015).

Related Terms: 
Application Program Interface (API)
Data
Relevant Literature: 

Brook M, Murray-Rust P, & Oppenheim C. (2014). The Social, Political and Legal Aspects of Text and Data Mining (TDM). D-Lib Magazine, 20(11/12). doi.org/10.1045/november14-brook

Demigha S. (2016). Mining Knowledge of the Patient Record: “The Bayesian Classification to Predict and Detect Anomalies in Breast Cancer”. Electronic Journal of Knowledge Management, 14(3), 128–139.

Kristianto GY, Topić G, & Aizawa A. (2014). Extracting Textual Descriptions of Mathematical Expressions in Scientific Papers. D-Lib Magazine, 20(11/12). doi.org/10.1045/november14-kristianto

Murray-Rust P, Smith-Unna R, & Mounce R. (2014). AMI-diagram: Mining Facts from Images. D-Lib Magazine, 20(11/12). doi.org/10.1045/november14-murray-rust

Siguenza-Guzman L, Saquicela V, Avila-Ordóñez E, Vandewalle J, & Cattrysse D. (2015). Literature Review of Data Mining Applications in Academic Libraries. Journal of Academic Librarianship, 41(4), 499–510. doi.org/10.1016/j.acalib.2015.06.007

Smith-Unna R, Murray-Rust P. (2014). The ContentMine Scraping Stack: Literature-scale Content Mining with Community-maintained Collections of Declarative Scrapers. D-Lib Magazine, 20(11/12). doi.org/10.1045/november14-smith-unna

Tourassi G, Yoon H-J, Xu S, & Han X. (2016). The utility of web mining for epidemiological research: studying the association between parity and cancer risk. Journal of the American Medical Informatics Association, 23(3), 588–595. doi.org/10.1093/jamia/ocv141

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