Contrast Pattern Mining and Its Application for Building Robust Classifiers

Ramamohanarao, Kotagiri

doi:10.1007/978-3-642-16108-7_5

Contrast Pattern Mining and Its Application for Building Robust Classifiers

Kotagiri Ramamohanarao

ALT 2010 pp. 33

doi:10.1007/978-3-642-16108-7_5 /alt/2010/ramamohanarao2010alt-contrast/

Abstract

The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their data and can help in building classification models. This presentation will introduce the techniques for contrasting data sets. It will also focus on some important real world applications that illustrate how contrast patterns can be applied effectively for building robust classifiers.

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Cite

Text

Ramamohanarao. "Contrast Pattern Mining and Its Application for Building Robust Classifiers." International Conference on Algorithmic Learning Theory, 2010. doi:10.1007/978-3-642-16108-7_5

Markdown

[Ramamohanarao. "Contrast Pattern Mining and Its Application for Building Robust Classifiers." International Conference on Algorithmic Learning Theory, 2010.](https://mlanthology.org/alt/2010/ramamohanarao2010alt-contrast/) doi:10.1007/978-3-642-16108-7_5

BibTeX

@inproceedings{ramamohanarao2010alt-contrast,
  title     = {{Contrast Pattern Mining and Its Application for Building Robust Classifiers}},
  author    = {Ramamohanarao, Kotagiri},
  booktitle = {International Conference on Algorithmic Learning Theory},
  year      = {2010},
  pages     = {33},
  doi       = {10.1007/978-3-642-16108-7_5},
  url       = {https://mlanthology.org/alt/2010/ramamohanarao2010alt-contrast/}
}