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	Faria, Elaine R.     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 2 of 2 reviews       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...... 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...... Mar 4 2014
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