2^nd KDD Workshop on Anomaly Detection in Finance (ADF 2019)

August 5, 2019, Anchorage, Alaska, USA

Call for Papers

Detecting anomalies and novel events is vital to the financial industry. These events are often indicative of illegal activities such as credit card fraud, identity theft, network intrusion and money laundering. Left unchecked, these activities can cause poor customer experiences and billions of dollars in losses. In addition to these activities, a new threat is emerging in the form of fake news in financial media outlets that can lead to distortions in trading strategies and investment decisions. A number of new techniques are emerging to tackle these problems including semi-supervised learning methods, deep learning algorithms, network/graph based solutions as well as linguistic approaches. These methods must often be able to work in real-time and be able to handle large volumes of data. The purpose of this workshop is to bring together researchers and practitioners to discuss both the problems faced by the financial industry and potential solutions.

We invite papers on anomaly and novelty detection with applications for the financial industry. Topics of interest include, but are not limited to, the following:

Topics of Interest :

Paper Submission

All submissions must be PDFs formatted in the Standard ACM Conference Proceedings Template. Submissions are limited to 8 content pages or less, including all figures and tables but excluding references. All accepted papers will be presented as posters; some may be selected for oral presentations, depending on schedule constraints. Accepted papers will be posted on the workshop website or, at the authors’ request, may be linked to an external repository such as arXiv.

Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions.

Important Dates