Improving SVM classification on imbalanced time series data sets with ghost points

Author:

Köknar-Tezel Suzan,Latecki Longin Jan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference38 articles.

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3. Akbani R, Kwek S, Japkowicz N (2004) Applying support vector machines to imbalanced datasets. In: Proceedings of ECML’04, pp 39–50

4. Batista GEAPA, Prati RC, Monard MC (2004) A study of the behavior of several methods for balancing machine learning training data. SIGKDD Explor. Newsl. 6(1): 20–29

5. Berndt DJ, Clifford J (1994) Using dynamic time warping to find patterns in time series. In: KDD Workshop, pp 359–370

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