CASP-DM: Context Aware Standard Process for Data Mining

2017/09/19 by Fernando Martínez‐Plumed, Martínez-Plumed, Fernando, Lidia Contreras-Ochando +13
Computer Science · #Data Stream Mining Techniques #Data Mining Algorithms and Applications #Machine Learning and Data Classification

paper · pdf · doi:10.48550/arxiv.1709.09003

Abstract

We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and model reuse handling. This new general context-aware process model is mapped with CRISP-DM reference model proposing some new or enhanced outputs.

Citations

• The KDD process for extracting useful knowledge from volumes of data

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