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A Statistical Decision Tree Algorithm for Data Stream Classification
english
2013
Proceedings of the 15th International Conference on Enterprise Information Systems
english
A large amount of data is generated daily. Credit card transactions, monitoring networks, sensors and telecommunications are some examples among many applications that generate large volumes of data in an automated way. Data streams storage and knowledge extraction techniques differ from those used on traditional data. In the context of data stream classification many incremental techniques has been proposed. In this paper we present an incremental decision tree algorithm called StARMiner Tree
doi:10.5220/0004447202170223
dblp:conf/iceis/CazzolatoRYS13
fatcat:i6ycgcjoxbd3bgbkbvqqdzw3su