# 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.**\ <br>

![](https://lh5.googleusercontent.com/zxvV554pWSEERqhi7sfiq57aeDukBBQxbwpkzw8u2ykK8qSGK0LWt7KwriZGJ34SXvFYU6rBi8BFon1K60Bk1_7EpRYm4C7Sv3hgc7_xnU1Vf10LSBPgDog2V_GUGKYt66dmhirD)

![](https://lh6.googleusercontent.com/oVjTfYyqaoBE_mf-Vjlrc36yH9TgsTn4qe5pn1u-xQ92G549WhJmEypfy5eicUIIS_pIp2kDM3qWuZ09xBU_GikGAb6f40h8XorzEe7FufOlvCkgek7rxyTFKbL9FjrbgnX2TmPP)

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* **Using incremental learning for time series, i.e., sent**[**iment from twitter api streat, learning from smiley in weka.**](https://www.youtube.com/watch?v=jScSxkuSei8\&list=PLm4W7_iX_v4Msh-7lDOpSFWHRYU_6H5Kx\&index=12)
* **And** [**time series in weka**](https://www.youtube.com/watch?v=9R0mz_gfhBs\&list=PLm4W7_iX_v4Msh-7lDOpSFWHRYU_6H5Kx\&index=3)**, with some ideas about dealing with time series data, especially date and time.**

### **HOEFFDING TREE**&#x20;

* **IS STATE OF THE ART**