75,59 €
94,49 €
Fraud Prevention in Online Digital Advertising
75,59 € 
- Išsiųsime per 10–14 d.d.
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the…
75.59
2025-06-29 23:59:00
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- Autorius: Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne
- Leidėjas: Springer-Verlag GmbH
- Metai: 2017
- ISBN-10: 3319567926
- ISBN-13: 9783319567921
- Formatas: 15.4 x 23.3 x 1 cm, kieti viršeliai
- Kalba: Anglų
- Extra -20 % nuolaida šiai knygai su kodu ENG20
Fraud Prevention in Online Digital Advertising + nemokamas atvežimas! | knygos.lt
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Aprašymas
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.EXTRA 20 % nuolaida
75,59 €
94,49 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG20
Akcija baigiasi už 4d.06:49:30
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne
- Leidėjas: Springer-Verlag GmbH
- Metai: 2017
- ISBN-10: 3319567926
- ISBN-13: 9783319567921
- Formatas: 15.4 x 23.3 x 1 cm, kieti viršeliai
- Kalba: Anglų
The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud.
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