STTR Phase I: A real-time Collaborative Click Fraud Detection and Prevention System

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$149,923.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
0637563
Award Id:
84854
Agency Tracking Number:
0637563
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
462 S. 4th Street, 6745 HOLLISTER AVENUE, Louisville, KY, 40202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
883519266
Principal Investigator:
Li Ge
Mr
(502) 214-4176
ge_li@hotmail.com
Business Contact:
Li Ge
PhD
(502) 214-4176
ge_li@hotmail.com
Research Institution:
U of Louisville
Li M Ge
South Third Street
Louisville, KY, 40202 1328
(502) 214-4176
Nonprofit college or university
Abstract
This Small Business Technology Transfer (STTR) Phase I project will provide a commercial solution to click fraud identification and prevention. The current existing solutions can not detect the so-called software click. This STTR project proposes a real time collaborative click fraud detection and prevention system to detect these software clicks. The approach draws on data mining techniques for fraud identification using detailed user activities. An accurate and efficient classification method based on association rule mining and data stream mining will be formulated to identify the click frauds. The system will protect Pay-Per-Click advertisers from click fraud and improve their return on investment. The new data mining techniques discovered during the course of this research will be applied in multiple fields related to online business marketing, user analysis and other fraud identification processes.

* information listed above is at the time of submission.

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