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Abstract Details
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Activity Number:
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220
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Marketing
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| Abstract - #303706 |
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Title:
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Detecting Bad Behavior in Web Advertising Networks
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Author(s):
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Alex Zolotovitski*+ and Dennis Minium and Jigar Mody
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Companies:
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Medio Systems Inc and Microsoft Corp. and Microsoft Corp.
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Address:
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701 Pike St # 1500, Seattle, WA, 98101,
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Keywords:
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Web Analytics ;
Predictive Modeling ;
Social Network Analysis ;
Fraud Detection
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Abstract:
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In this presentation we describe data mining methods related to identifying and eliminating gaming, fraud and other robotic behaviors in the Microsoft web advertising network of hundreds of millions of users, advertisers, and publishers. There are fraudulent actors in each of these populations. To protect network participants from being unfairly exploited we need to combine many data mining methods - predictive modeling, social network analysis, text mining, affinity analysis, etc. - to separate good web traffic from bad.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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