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kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017.
注意,当前年度会议可能有其他论文集合,点击查看
Anomaly Detection in Finance: Editors' Introduction.

Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu

Uncovering Unknown Unknowns in Financial Services Big Data by Unsupervised Methodologies: Present and Future trends.

Gil Shabat, David Segev, Amir Averbuch

Analytical Techniques for Anomaly Detection Through Features, Signal-Noise Separation and Partial-Value Association.

Nong Ye

Spotlighting Anomalies using Frequent Patterns.

Jaroslav Kuchar, Vojtech Svátek

Ensemble-Based Anomaly Detetction using Cooperative Learning.

Rasha F. Kashef

Real-time anomaly detection system for time series at scale.

Meir Toledano, Ira Cohen, Yonatan Ben-Simhon, Inbal Tadeski

Collective Fraud Detection Capturing Inter-Transaction Dependency.

Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu

PD-FDS: Purchase Density based Online Credit Card Fraud Detection System.

Youngjoon Ki, Ji Won Yoon

Fraud Detection with Density Estimation Trees.

Parikshit Ram, Alexander G. Gray

An Automated System for Data Attribute Anomaly Detection.

David Love, Nalin Aggarwal, Alexander R. Statnikov, Chao Yuan

Binned Kernels for Anomaly Detection in Multi-timescale Data using Gaussian Processes.

Matthew Adelsberg, Christian Schwantes

Deep Learning to Detect Medical Treatment Fraud.

Daniel Lasaga, Prakash Santhana

Sleuthing for adverse outcomes: Using anomaly detection to identify unusual behaviors of third-party agents.

Michelle R. Miller, Robert Cezeaux


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