Fraud Detection in onlin advertising click / Aouir,Yahia  

Public ISBD Titre : Fraud Detection in onlin advertising click Type de document : texte imprimé Auteurs : Aouir,Yahia, Auteur ; Toumi,Lyazid, Directeur de thèse Editeur : Setif:UFA Année de publication : 2021 Importance : 1 vol (64 f .) Format : 29 cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé : Fraud, the art of compromising systems, and taking advantage of any flaws within. Fraud has existed since ever and now, in the era of technology this has taken significant steps forward and today it costs governments and private institutions a huge amount money. Ad click fraud is a one shape of this fraudulent behavior attempting to defraud digital advertising networks for financial gain, there are a number of methods scammers and fraudsters use and there are many of methods to prevent them from doing so. In this work we will try to present one way of standing against this fraudulent behavior through the use of machine learning techniques mainly classification techniques, logistic regression to prevent or at least minimize the damages that might occur. And has shown how effective it could be in preventing such fraudulent actions. ii Côte titre : MAI/0546 En ligne : https://drive.google.com/file/d/1IGsEivF7IAOU19YyayXM7erDjdl8d8mQ/view?usp=shari [...] Format de la ressource électronique : pdf Fraud Detection in onlin advertising click [texte imprimé] / Aouir,Yahia, Auteur ; Toumi,Lyazid, Directeur de thèse . - [S.l.] : Setif:UFA, 2021 . - 1 vol (64 f .) ; 29 cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique Index. décimale : 004 - Informatique Résumé : Fraud, the art of compromising systems, and taking advantage of any flaws within. Fraud has existed since ever and now, in the era of technology this has taken significant steps forward and today it costs governments and private institutions a huge amount money. Ad click fraud is a one shape of this fraudulent behavior attempting to defraud digital advertising networks for financial gain, there are a number of methods scammers and fraudsters use and there are many of methods to prevent them from doing so. In this work we will try to present one way of standing against this fraudulent behavior through the use of machine learning techniques mainly classification techniques, logistic regression to prevent or at least minimize the damages that might occur. And has shown how effective it could be in preventing such fraudulent actions. ii Côte titre : MAI/0546 En ligne : https://drive.google.com/file/d/1IGsEivF7IAOU19YyayXM7erDjdl8d8mQ/view?usp=shari [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0546	MAI/0546	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

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