Abstract
Initiatives as open data, make available more and more data to everybody, thus fostering new techniques for enabling non-expert users to analyse data in an easier manner. Data mining techniques allow acquiring knowledge from available data but it requires a high level of expertise in both preparing data sets and selecting the right mining algorithm. This paper is a first step towards a user-friendly data mining approach in which a knowledge base is created with the aim of guiding non-expert users in obtaining reliable knowledge from data sources.
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Espinosa, R., García-Saiz, D., Zubcoff, J.J., Mazón, JN., Zorrilla, M. (2012). Towards the Development of a Knowledge Base for Realizing User-Friendly Data Mining. In: Dodero, J.M., Palomo-Duarte, M., Karampiperis, P. (eds) Metadata and Semantics Research. MTSR 2012. Communications in Computer and Information Science, vol 343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35233-1_13
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DOI: https://doi.org/10.1007/978-3-642-35233-1_13
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