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Fraud Prevention in Online Digital AdvertisingAd Fraud Measure and Benchmark

Fraud Prevention in Online Digital Advertising: Ad Fraud Measure and Benchmark [In this chapter, we discuss measures and benchmark datasets commonly used for Ad fraud detection. The measures include fraud detection accuracy, precision, recall, F-measure, and AUC scores which are commonly used to validate the performance of classifiers for classification. In addition, we also summarize several real-world datasets which are currently available for Ad detection and computational advertising research in general.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Fraud Prevention in Online Digital AdvertisingAd Fraud Measure and Benchmark

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/lp/springer-journals/fraud-prevention-in-online-digital-advertising-ad-fraud-measure-and-VEYPH0J4H6
Publisher
Springer International Publishing
Copyright
© The Author(s) 2017
ISBN
978-3-319-56792-1
Pages
39 –44
DOI
10.1007/978-3-319-56793-8_5
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we discuss measures and benchmark datasets commonly used for Ad fraud detection. The measures include fraud detection accuracy, precision, recall, F-measure, and AUC scores which are commonly used to validate the performance of classifiers for classification. In addition, we also summarize several real-world datasets which are currently available for Ad detection and computational advertising research in general.]

Published: Jun 9, 2017

Keywords: Receiver Operating Characteristic Curve; False Positive Rate; True Positive Rate; Average Precision; Fraud Detection

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