Summary
Standards such as CRISP-DM, SEMMA, PMML, are making data mining processes easier. Nevertheless, up to date, projects are being developed more as an art than as a science making it difficult to understand, evaluate and compare results as there is no standard methodology. In this chapter, we make a proposal for such a methodology based on RUP and CRISP-DM and concentrate on the project conception phase for determining a feasible project plan.
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González-Aranda, P., Menasalvas, E., Millán, S., Ruiz, C., Segovia, J. (2008). Towards a Methodology for Data Mining Project Development: The Importance of Abstraction. In: Lin, T.Y., Xie, Y., Wasilewska, A., Liau, CJ. (eds) Data Mining: Foundations and Practice. Studies in Computational Intelligence, vol 118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78488-3_10
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