APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

Van Vlasselaer, Véronique; Bravo, Cristián; Caelen, Olivier; Eliassi-Rad, Tina; Akoglu, Leman; Snoeck, Monique; Baesens, Bart

doi:10.1016/j.dss.2015.04.013

Title: APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

Full Record
Other Related Research

Authors:

Van Vlasselaer, Véronique;

;

; Eliassi-Rad, Tina; Akoglu, Leman;

; Baesens, Bart

Publication Date:: Wed Jul 01 00:00:00 EDT 2015

Sponsoring Org.:: USDOE

OSTI Identifier:: 1359015

Grant/Contract Number:: AC52-07NA27344

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Decision Support Systems

Additional Journal Information:: Journal Name: Decision Support Systems Journal Volume: 75 Journal Issue: C; Journal ID: ISSN 0167-9236

Publisher:: Elsevier

Country of Publication:: Country unknown/Code not available

Language:: English

Citation Formats


                    Van Vlasselaer, Véronique, Bravo, Cristián, Caelen, Olivier, Eliassi-Rad, Tina, Akoglu, Leman, Snoeck, Monique, and Baesens, Bart. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.  Country unknown/Code not available: N. p., 2015. 
Web.  doi:10.1016/j.dss.2015.04.013.

Copy to clipboard


                    Van Vlasselaer, Véronique, Bravo, Cristián, Caelen, Olivier, Eliassi-Rad, Tina, Akoglu, Leman, Snoeck, Monique, & Baesens, Bart. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.  Country unknown/Code not available.  https://doi.org/10.1016/j.dss.2015.04.013

Copy to clipboard


                    Van Vlasselaer, Véronique, Bravo, Cristián, Caelen, Olivier, Eliassi-Rad, Tina, Akoglu, Leman, Snoeck, Monique, and Baesens, Bart. Wed .  
"APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions".  Country unknown/Code not available.  https://doi.org/10.1016/j.dss.2015.04.013.

Copy to clipboard


                    
@article{osti_1359015,

  title        = {APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions},

  author       = {Van Vlasselaer, Véronique and Bravo, Cristián and Caelen, Olivier and Eliassi-Rad, Tina and Akoglu, Leman and Snoeck, Monique and Baesens, Bart},

  abstractNote = {},

  doi          = {10.1016/j.dss.2015.04.013},

  journal      = {Decision Support Systems},

  number       = C,

  volume       = 75,

  place        = {Country unknown/Code not available},

  year         = {Wed Jul 01 00:00:00 EDT 2015},

  month        = {Wed Jul 01 00:00:00 EDT 2015}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
https://doi.org/10.1016/j.dss.2015.04.013

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 144 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Credit card fraud detection: An application of the gene expression messy genetic algorithm

Conference Kargupta, H ; Gattiker, J R ; Buescher, K

This paper describes an application of the recently introduced gene expression messy genetic algorithm (GEMGA) (Kargupta, 1996) for detecting fraudulent transactions of credit cards. It also explains the fundamental concepts underlying the GEMGA in the light of the SEARCH (Search Envisioned As Relation and Class Hierarchizing) (Kargupta, 1995) framework.
Full Text Available
Feasibility of Correlated Extensive Air Shower Detection with a Distributed Cosmic-Ray Network

Journal Article Albin, Eric K. ; Whiteson, Daniel - The Astrophysical Journal

We explore the sensitivity offered by a global network of cosmic-ray detectors to a novel, unobserved phenomenon: widely separated simultaneous extended air showers. Existing localized observatories work independently to observe individual showers, offering insight into the source and nature of ultrahigh-energy cosmic rays. However no current observatory is large enough to provide sensitivity to anticipated processes such as the Gerasimova–Zatsepin effect or potential new physics that generate simultaneous air showers separated by hundreds to thousands of kilometers. A global network of consumer electronics (the Cosmic Rays Found In Smartphones (CRAYFIS) experiment), may provide a novel opportunity for observation of suchmore »« less
https://doi.org/10.3847/1538-4357/acc52d

Full Text Available
A novel approach to estimate emissions from large transportation networks: Hierarchical clustering-based link-driving-schedules for EPA-MOVES using dynamic time warping measures

Journal Article Aziz, H. M. Abdul ; Ukkusuri, Satish V. - International Journal of Sustainable Transportation

We present that EPA-MOVES (Motor Vehicle Emission Simulator) is often integrated with traffic simulators to assess emission levels of large-scale urban networks with signalized intersections. High variations in speed profiles exist in the context of congested urban networks with signalized intersections. The traditional average-speed-based emission estimation technique with EPA-MOVES provides faster execution while underestimates the emissions in most cases because of ignoring the speed variation at congested networks with signalized intersections. In contrast, the atomic second-by-second speed profile (i.e., the trajectory of each vehicle)-based technique provides accurate emissions at the cost of excessive computational power and time. We addressed thismore »« less
https://doi.org/10.1080/15568318.2017.1346732

Full Text Available
Fraud detection in medicare claims: A multivariate outlier detection approach

Conference Burr, T ; Hale, C ; Kantor, M

We apply traditional and customized multivariate outlier detection methods to detect fraud in medicare claims. We use two sets of 11 derived features, and one set of the 22 combined features. The features are defined so that fraudulent medicare providers should tend to have larger features values than non-fraudulent providers. Therefore we have an apriori direction ({open_quotes}large values{close_quotes}) in high dimensional feature space to search for the multivariate outliers. We focus on three issues: (1) outlier masking (Example: the presence of one outlier can make it difficult to detect a second outlier), (2) the impact of having an apriori directionmore »« less
Full Text Available
Network Detection of Radiation Sources Using Localization-Based Approaches

Journal Article Wu, Chase Qishi ; Berry, Mark Lee ; Grieme, Kayla Marie ; ... - IEEE Transactions on Industrial Informatics

Radiation source detection is a critical problem in homeland security-related applications. Deploying a network of detectors is expected to provide improved detection due to the combined, albeit dispersed, capture area of multiple detectors. Recently, localization-based detection algorithms provided performance gains beyond the simple “aggregated” area as a result of localization being enabled by the networked detectors. We introduce the following three localization-based detection approaches: 1) source-attractor radiation detection (SRD); 2) triangulation-based radiation source detection (TriRSD); and 3) the ratio of square distance-based radiation source detection (ROSD-RSD). We use canonical datasets from Domestic Nuclear Detection Office's intelligence radiation sensors systems testsmore »« less
Cited by 10
https://doi.org/10.1109/TII.2019.2891253

Full Text Available

Similar Records