A hyper-box approach using relational databases for large scale machine learning


In this paper We follow a simple approach which allows the implementation of machine learning (ML for short) techniques to large data sets. More specifically, we study the case of on-demand dynamic creation of a local model in the neighborhood of a target datum instead of creating a global one on the whole training data set. This approach exploits the… (More)
DOI: 10.1109/TEMU.2014.6917738


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