4.7 Article

Fraud analytics: A decade of research Organizing challenges and solutions in the field

Related references

Note: Only part of the references are listed.
Article Computer Science, Information Systems

Combining unsupervised and supervised learning in credit card fraud detection

Fabrizio Carcillo et al.

Summary: This paper presents a hybrid technique combining supervised and unsupervised learning techniques to improve the accuracy of credit card fraud detection. Experimental results show that the combination is efficient and indeed improves the accuracy of the detection.

INFORMATION SCIENCES (2021)

Review Energy & Fuels

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Yassine Himeur et al.

Summary: This paper provides a comprehensive review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence, introducing a comprehensive taxonomy and discussing unresolved challenges and future research directions.

APPLIED ENERGY (2021)

Review Computer Science, Artificial Intelligence

Fraud detection: A systematic literature review of graph-based anomaly detection approaches

Tahereh Pourhabibi et al.

DECISION SUPPORT SYSTEMS (2020)

Article Computer Science, Information Systems

Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges

Sobia Mehrban et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

Ugo Fiore et al.

INFORMATION SCIENCES (2019)

Review Computer Science, Artificial Intelligence

Learning under Concept Drift: A Review

Jie Lu et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)

Article Computer Science, Theory & Methods

Survey on deep learning with class imbalance

Justin M. Johnson et al.

JOURNAL OF BIG DATA (2019)

Article Computer Science, Artificial Intelligence

Cost-sensitive payment card fraud detection based on dynamic random forest and k-nearest neighbors

Sanaz Nami et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Article Automation & Control Systems

How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark

Nick F. Ryman-Tubb et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

Article Computer Science, Information Systems

A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection

Zhaohui Zhang et al.

SECURITY AND COMMUNICATION NETWORKS (2018)

Article Computer Science, Artificial Intelligence

Ensemble learning for data stream analysis: A survey

Bartosz Krawczyk et al.

INFORMATION FUSION (2017)

Article Management

GOTCHA! Network-Based Fraud Detection for Social Security Fraud

Veronique Van Vlasselaer et al.

MANAGEMENT SCIENCE (2017)

Article Computer Science, Interdisciplinary Applications

The journal coverage of Web of Science and Scopus: a comparative analysis

Philippe Mongeon et al.

SCIENTOMETRICS (2016)

Review Computer Science, Information Systems

Intelligent financial fraud detection: A comprehensive review

Jarrod West et al.

COMPUTERS & SECURITY (2016)

Article Computer Science, Artificial Intelligence

Characterizing concept drift

Geoffrey I. Webb et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2016)

Article Computer Science, Theory & Methods

A survey of anomaly detection techniques in financial domain

Mohiuddin Ahmed et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)

Review Computer Science, Hardware & Architecture

Fraud detection system: A survey

Aisha Abdallah et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)

Article Computer Science, Information Systems

BANKSEALER: A decision support system for online banking fraud analysis and investigation

Michele Carminati et al.

COMPUTERS & SECURITY (2015)

Article Computer Science, Artificial Intelligence

A cost-sensitive decision tree approach for fraud detection

Yusuf Sahin et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Computer Science, Information Systems

Effective detection of sophisticated online banking fraud on extremely imbalanced data

Wei Wei et al.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature

E. W. T. Ngai et al.

DECISION SUPPORT SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

Incremental Learning from Stream Data

Haibo He et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

Article Multidisciplinary Sciences

The World's Technological Capacity to Store, Communicate, and Compute Information

Martin Hilbert et al.

SCIENCE (2011)

Article Automation & Control Systems

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble

Xingquan Zhu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2010)

Editorial Material Multidisciplinary Sciences

The misused impact factor

Kai Simons

SCIENCE (2008)