Glossary

Successful collaboration begins with a shared language, hence the need for a glossary. This joint effort of contributors from several teams ensures, on the one hand, terminological and conceptual coherence across not only our theoretical approaches, but also the qualitative case studies and quantitative research conducted in OPPORTUNITIES. On the other hand, our glossary facilitates communication between the academic side of the project and the fieldwork conducted by NGOs, uniting our teams working from Austria, Belgium, France, Germany, Ghana, Italy, Mauritania, the Netherlands, Portugal, Romania and Senegal.

For more information about the Structure and Objectives of the Glossary, click here...)

Data mining refers to the process of using statistics, computer science, and computing technology to detect or discover some connection among variables in a data set. It is concerned with the secondary analysis of large databases. Data mining is also referred to as “knowledge discovery in databases” (Analytics Software and Solutions 2021). For more information, see the explanation provided by Analytics Software and Solutions.

⇢ see also Data

References and further reading:

Analytics Software and Solutions. 2021. Data Mining: What It Is and Why It Matters. SAS. URL: https://www.sas.com/en_us/insights/analytics/data-mining.html

Hand, David J. 1998. “Data Mining: Statistics and More?” In The American Statistician. 52.2: 112–118.

Category: A

Work Package: 2, 4, 5

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