/AOO

Author: Tong Zhao (tzhao2@nd.edu). IEEE BigData'18. Actionable graph anomaly detection.

Primary LanguagePython

AOO

This repository contains the code package for the BigData'18 paper:

Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs.

Tong Zhao (tzhao2@nd.edu), Matthew Malir, Meng Jiang.

Usage

To run the method:

python aoo_api.py

a list of configurable arguments can be found here.

Citation

If you find this repository useful in your research, please cite our paper:

@inproceedings{zhao2018actionable,
  title={Actionable objective optimization for suspicious behavior detection on large bipartite graphs},
  author={Zhao, Tong and Malir, Matthew and Jiang, Meng},
  booktitle={2018 IEEE International Conference on Big Data (Big Data)},
  pages={1248--1257},
  year={2018},
  organization={IEEE}
}