(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.
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- 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.
- IS STATE OF THE ART