More codes and datasets are also made available at GitHub.
Codes
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
Datasets
Categorical data sets used in the algorithms DSFS, CBRW and HOUR
Imbalanced text classification data sets used in our DMKD journal paper