KDD-ADF 2017: Anomaly Detection in Finance Workshop at 23rd SIGKDD Conference on Knowledge Discovery and Data Mining KDD Halifax, Canada, August 14, 2017 |
Conference website | https://sites.google.com/view/kdd-adf-2017/home |
Submission link | https://easychair.org/conferences/?conf=kddadf2017 |
Abstract registration deadline | May 24, 2017 |
Submission deadline | May 24, 2017 |
KDD 2017 Workshop on Anomaly Detection in Finance
August 14, 2017
Halifax, Nova Scotia
Detecting anomalies and novel events is vital to the financial industry. These events may often be indicative of illegal activities such as credit card fraud, identity theft, network intrusion, and money laundering. Left unchecked, these types of anomalies can cost organizations billions of dollars, as well as their brands' reputation. A number of new ideas are emerging to tackle this problem, including semi-supervised learning methods, deep learning based approaches and network/graph based solutions. These approaches must often be able to work in real-time and be able handle large volumes of data. The purpose of this workshop is to bring together researchers and practitioners to discuss both the anomalous events that are harmful to financial institutions, but, more importantly, potential solutions to combat them. This half-day workshop will consist of a series of sessions, including spotlight talks and short paper presentations, which will showcase ongoing research and novel applications.
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:
- Unsupervised approaches
- Semi-supervised approaches
- Spectral methods
- Model-based algorithms (including neural nets, Bayesian nets, SVM’s, rule-based)
- Statistical methods
- Information theoretic approaches
- Graph/Network algorithms
- Use-Cases:
- Anti-Money Laundering (AML)
- Fraud
- Identity Theft and Fake Account Registration
- Risk Modeling
- Account Takeover
- Promotion Credit Abuse
- Customer Behavior Analytics
- Cyber Security
Papers may be submitted for one of the following types of sessions:
- Feature Presentation: These will be 20 minute presentations of a well-studied problem relevant to the financial industry in one of the above listed topics. Submissions to this session should be a short paper of 3-5 (maximum) pages containing an in-depth discussion of the problem addressed and the proposed solution.
- Spotlight Presentation: These will be 5 minute presentations covering ongoing research and novel applications. Submissions to this session should include a one-page summary of the work-in-progress or a novel application.
SUBMISSION REQUIREMENTS
Submissions must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template. All submitted papers must be original and should not be under review or accepted for publication elsewhere. Papers will be reviewed and selected by the program committee on the basis of originality, presentation and technical quality.
The short paper for the Feature Presentation should be of maximum 5 pages. The one-page summary for the Spotlight Presentation must be in the form of a structured abstract limited to 500 words. Both the paper and the one-page summary must include clearly written sections with the following details:
- Introduction: Describing the motivation and the problem that is being solved by the authors
- Methodology: Describing the methods and algorithms used or proposed
- Results: Explaining the key findings of the work
- Conclusions: Closing comments from the authors
PAPER SUBMISSION
Papers must be submitted via the following link:
https://easychair.org/conferences/?conf=kddadf2017
IMPORTANT DATES
- Workshop paper submissions: May 21, 2017 (11:59 PM Pacific Standard Time)
- Workshop paper notifications: June 16, 2017
CONTACT
kdd dot adf dot 2017 at gmail dot com