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Welcome to the ConceptDriftData wiki!

The set of tools presented in this repository was developed while working on incremental learning of concept drift from streaming imbalanced data. The code was used to generate some of the data in the publication that came about as a result (currently accepted). The original paper forces an imbalance on the class priors, while the code in its current form does not implement this function. Under-sampling one of the classes is left open to the user. This gives the end user greater flexibility in designing experiments.

You can read our paper here. You may also find more resources such as data and movie files on Robi Polikar's Learn++.NIE webpage

References

1. G. Ditzler and R. Polikar, "Incremental learning of concept drift from streaming imbalanced data," in IEEE Transactions on Knowledge & Data Engineering, 2012, accepted.
2. G.Ditzler, R.Polikar, and N. Chawla, "An incremental learning algorithm for nonstationary environments and imbalanced data," International Conference on Pattern Recognition, 2010, Istanbul, Turkey, pp. 2997–3000.
3. G. Ditzler and R. Polikar, "An incremental learning framework for concept drift and class imbalance." in International Joint Conference on Neural Networks, 2010, Barcelona, Spain, pp. 736-743.