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The source code of outlier detection method WOD for categorical data published in DEXA18.

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It is an outlier detection / anomaly detection method for categorical data.

WOD is published in DEXA2018. The conference paper of WOD is avaliable at on the researchGate https://www.researchgate.net/profile/Hongzuo_Xu.

Please cite our paper if you use it. Xu, Hongzuo.;Wang, Yongjun.;Wu, Zhiyue.; Ma, Xingkong.; and Qin, Zhiquan. Combine value clustering and weighted value coupling learning for outlier detection in categorical data. In DEXA, 439–449. Springer.

The main class is ODUtil. "path" is the dataset path or a directory of the dataset folder. or you can use jar as "java -jar WOD.jar X:\data\", the only parameter is the data set file path or folder path

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The source code of outlier detection method WOD for categorical data published in DEXA18.

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