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Data Mining for Educational Management

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Encyclopedia of Education and Information Technologies
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Synonyms

Data Analysis; Data Analytics; Patterns discovery; Knowledge discovery

Definition

Based on computer information systems, data mining (DM) is a technique designed to scan huge data repositories, generate information, and discover knowledge (Vlahos et al. 2004). By applying different tools, DM seeks hidden relationships in raw data in order to discover data patterns. Therefore, DM can play an important role in unveiling a broad set of findings and, consequently, offers valuable support in decision-making. The incorporation of DM into the educational arena has given rise to a new research field called educational data mining (EDM) (Anjewierden et al. 2011). In this case, the aim is to design models, tasks, methods, and algorithms for exploring data from educational settings (Peña-Ayala 2014). Altogether, they can help to improve management activities in educational institutions, thus empowering the performance of educational managers.

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Correspondence to Estefania Osorio-Acosta .

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Osorio-Acosta, E. (2019). Data Mining for Educational Management. In: Tatnall, A. (eds) Encyclopedia of Education and Information Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-60013-0_124-1

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  • DOI: https://doi.org/10.1007/978-3-319-60013-0_124-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60013-0

  • Online ISBN: 978-3-319-60013-0

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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