More codes and datasets are also made available at GitHub.
More codes and datasets are also made available at GitHub.
Click the algorithm name below to download the code.
DevNet in KDD 2019: weakly-supervised deep anomaly detection
REPEN in KDD 2018: representation learning for high-dimensional outlier detection
CINFO in AAAI 2018: sequential ensembles for outlier detection in high-dimensional numeric data
HOUR in IJCAI 2017: simultaneous feature selection and outlier detection
POP in CIKM 2017: outlier detection in high-dimensional categorical data
DSFS in ICDM 2016: subgraph mining-based feature selection for outlier detection
CBRW in IJCAI 2016 and its extension SDRW in DMKD journal: biased random walks-based outlier detection for categorical data
ZERO++ in JAIR: zero appearance-based outlier detection for categorical data
Categorical data sets used in the algorithms DSFS, CBRW and HOUR
Imbalanced text classification data sets used in our DMKD journal paper