Incremental Learning
(wiki) In computer science, incremental learning is a method of machine learning in which input data is continuously used to extend the existing model's knowledge i.e. to further train the model.
Using incremental learning for time series, i.e., sentiment from twitter api streat, learning from smiley in weka.
And time series in weka, with some ideas about dealing with time series data, especially date and time.
HOEFFDING TREE
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