FDMA 2012: International Workshop on Fraud Detection in Mobile Advertising

In conjunction with Asian Conference on Machine Learning (ACML) 2012, 4 November 2012, Singapore

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Introduction

Online advertising flourishes as the ideal choice for both small and large businesses to target their marketing campaigns to the appropriate customers on the fly. An advertiser provides an advertising commissioner with its advertisements, plans a budget, and sets a commission for each customer action. The content publishers, on the other hand, make a contract with the commissioner to display advertisements on their websites. However, since publishers earn revenue based on impressions and clicks they drive to advertisers, there is an incentive for dishonest publishers to inflate the number of impressions/clicks their sites generate—a phenomenon known as click fraud. Click fraud hinders the reliability of online advertising system, and the market for online advertising will eventually contract in a long-term. Moreover, it may lead to expensive litigations from unsatisfied advertisers and bad reputation for the commissioner. It is important for the commissioner to proactively prevent click fraud so as to convince their advertisers the fairness of their accounting practices. Accordingly, a reliable click fraud detection system is needed to help identify dishonest publishers and maintain the commissioner’s credibility.

Prize

The primary entries from all participants will be ranked in decreasing order of their respective evaluation scores (see Evaluation section), computed on the test set. The top three entries will receive the following cash prizes:

  • First place - SGD 4,000
  • Second place - SGD 2,000
  • Third place - SGD 1,000

Workshop

A workshop for the competition results will be held in conjunction with the Asian Conference on Machine Learning (ACML) 2012. Registration waivers will be given to the speakers of five selected/winning teams. For other attendees, the following registration fees apply (for a single workshop):

  • Early registration fee: SGD 40 (by 28 October)
  • Late registration fee: SGD 80 (after 28 October)

To register, please click the following link:
https://wis.ntu.edu.sg/pls/apexacad/f?p=406:5

More details about the conference registration fee can be found at:
http://acml12.comp.nus.edu.sg/index.php?n=Main.Registration

Publication

The best entries of the data mining competition will be assembled for a jointly submitted article to Journal of Machine Learning Research (JMLR).

Organizers

Program Chairs:

  • Richard J. OENTARYO, Singapore Management University
  • Ee-Peng LIM, Singapore Management University
  • Feida ZHU, Singapore Management University
  • David LO, Singapore Management University
  • Kok Fung LAI, BuzzCity Pte. Ltd.

Web Administrators:

  • Juan DU, Singapore Management University
  • Philips K. PRASETYO, Singapore Management University

Important Dates

August 15 – Registration opens

September 1 – Competition begins

September 30 – Competition ends

October 7 – Winners notified

October 21 – Paper submission

October 28 – Early registration deadline

November 4 – Late registration deadline

November 4 – Competition workshop

Sponsors:

Contacts

Richard J. OENTARYO
Program Chair
Email: roentaryo@smu.edu.sg

Juan DU
Web Administrator
Email: juandu@smu.edu.sg