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ORCIDADF@KDD 2017: Halifax, Nova Scotia, Canada
- Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu:
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017. Proceedings of Machine Learning Research 71, PMLR 2018
Preface
- Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu:
Anomaly Detection in Finance: Editors' Introduction. 1-7
Invited Papers
- Gil Shabat, David Segev, Amir Averbuch:
Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends. 8-19 - Nong Ye:
Analytical Techniques for Anomaly Detection Through Features, Signal-Noise Separation and Partial-Value Association. 20-32
Contributed Papers
- Jaroslav Kuchar, Vojtech Svátek:
Spotlighting Anomalies using Frequent Patterns. 33-42 - Rasha F. Kashef:
Ensemble-Based Anomaly Detetction using Cooperative Learning. 43-55 - Meir Toledano, Ira Cohen, Yonatan Ben-Simhon, Inbal Tadeski:
Real-time anomaly detection system for time series at scale. 56-65 - Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu:
Collective Fraud Detection Capturing Inter-Transaction Dependency. 66-75 - Youngjoon Ki, Ji Won Yoon:
PD-FDS: Purchase Density based Online Credit Card Fraud Detection System. 76-84 - Parikshit Ram, Alexander G. Gray:
Fraud Detection with Density Estimation Trees. 85-94 - David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan:
An Automated System for Data Attribute Anomaly Detection. 95-101 - Matthew Adelsberg, Christian Schwantes:
Binned Kernels for Anomaly Detection in Multi-timescale Data using Gaussian Processes. 102-113 - Daniel Lasaga, Prakash Santhana:
Deep Learning to Detect Medical Treatment Fraud. 114-120 - Michelle R. Miller, Robert Cezeaux:
Sleuthing for adverse outcomes: Using anomaly detection to identify unusual behaviors of third-party agents. 121-125
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