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...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-4487 |
---|---|
record_format |
dspace |
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 |
_version_ |
1770573232543367168 |