A simple and effective outlier detection algorithm for categorical data

@article{Zhao2014ASA,
  title={A simple and effective outlier detection algorithm for categorical data},
  author={Xingwang Zhao and Jiye Liang and Fuyuan Cao},
  journal={Int. J. Machine Learning & Cybernetics},
  year={2014},
  volume={5},
  pages={469-477}
}
Outlier detection is an important data mining task that has attracted substantial attention within diverse research communities and the areas of application. By now, many techniques have been developed to detect outliers. However, most existing research focus on numerical data. And they can not directly apply to categorical data because of the difficulty of defining a meaningful similarity measure for categorical data. In this paper, a weighted density definition is given firstly, which takes… CONTINUE READING

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