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Faria, Elaine R.
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Novelty detection in data streams
Faria E., Gonçalves I., de Carvalho A., Gama J. Artificial Intelligence Review 45(2): 235-269, 2016. Type: Article
Novelty detection, an important topic in machine learning, is the ability of a classification system to differentiate between known and unknown objects in a pattern. Novelty detection has many real-world applications, like in signal pr...
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Oct 12 2016
Data stream clustering: a survey
Silva J., Faria E., Barros R., Hruschka E., Carvalho A., Gama J. ACM Computing Surveys 46(1): 1-31, 2013. Type: Article
Data streams, which are continuously generated at uncontrollable, rapid rates, are a relatively new form of temporal data object. Data stream clustering (DSC) is an unsupervised data mining process that looks for hidden patterns in dyn...
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Mar 4 2014
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