Mining fraudulent patterns in online advertising

Advances in web technologies have rendered onlineadvertising as an effective means for small and large businesses to target different market segments on the fly. Online advertising is a huge industry. According to Gartner Inc., worldwide online advertising revenue is projected tohit $11.4 billion in...

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Main Authors: OENTARYO, Richard J., Ee-peng LIM
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/3486
https://ink.library.smu.edu.sg/context/sis_research/article/4487/viewcontent/C80___Mining_Fraudulent_Patterns_in_Oline_Advertising__FINT2013_.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-44872019-08-20T00:52:11Z Mining fraudulent patterns in online advertising OENTARYO, Richard J. Ee-peng LIM, Advances in web technologies have rendered onlineadvertising as an effective means for small and large businesses to target different market segments on the fly. Online advertising is a huge industry. According to Gartner Inc., worldwide online advertising revenue is projected tohit $11.4 billion in 2013, up from $9.6 billion in 2012. Global revenue will also reach $24.5 billion in 2016, with online advertising creating opportunities for app developers, advertising networks, and service providersin various regions. An online advertising ecosystem is typically coordinated by an advertising commissioner, acting as a broker between advertisers and content publishers. An advertiser plans a budget, provides some commissioner(s) with ads, and agrees on commission for customer actions (e.g., clicking ad, biddingin an auction, etc.). Meanwhile, content publishers contract with each commissioner to post ads on their websites, and receive commission based on the traffic they drive to the advertisers. 2013-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3486 https://ink.library.smu.edu.sg/context/sis_research/article/4487/viewcontent/C80___Mining_Fraudulent_Patterns_in_Oline_Advertising__FINT2013_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Databases and Information Systems E-Commerce
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Databases and Information Systems
E-Commerce
spellingShingle Computer Sciences
Databases and Information Systems
E-Commerce
OENTARYO, Richard J.
Ee-peng LIM,
Mining fraudulent patterns in online advertising
description Advances in web technologies have rendered onlineadvertising as an effective means for small and large businesses to target different market segments on the fly. Online advertising is a huge industry. According to Gartner Inc., worldwide online advertising revenue is projected tohit $11.4 billion in 2013, up from $9.6 billion in 2012. Global revenue will also reach $24.5 billion in 2016, with online advertising creating opportunities for app developers, advertising networks, and service providersin various regions. An online advertising ecosystem is typically coordinated by an advertising commissioner, acting as a broker between advertisers and content publishers. An advertiser plans a budget, provides some commissioner(s) with ads, and agrees on commission for customer actions (e.g., clicking ad, biddingin an auction, etc.). Meanwhile, content publishers contract with each commissioner to post ads on their websites, and receive commission based on the traffic they drive to the advertisers.
format text
author OENTARYO, Richard J.
Ee-peng LIM,
author_facet OENTARYO, Richard J.
Ee-peng LIM,
author_sort OENTARYO, Richard J.
title Mining fraudulent patterns in online advertising
title_short Mining fraudulent patterns in online advertising
title_full Mining fraudulent patterns in online advertising
title_fullStr Mining fraudulent patterns in online advertising
title_full_unstemmed Mining fraudulent patterns in online advertising
title_sort mining fraudulent patterns in online advertising
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url https://ink.library.smu.edu.sg/sis_research/3486
https://ink.library.smu.edu.sg/context/sis_research/article/4487/viewcontent/C80___Mining_Fraudulent_Patterns_in_Oline_Advertising__FINT2013_.pdf
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