STTR Phase I: A real-time Collaborative Click Fraud Detection and Prevention System
Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0637563
Agency Tracking Number: 0637563
Amount:
$149,923.00
Phase:
Phase I
Program:
STTR
Awards Year:
2007
Solicitation Year:
2006
Solicitation Topic Code:
IT
Solicitation Number:
NSF 06-553
Small Business Information
462 S. 4th Street, 6745 HOLLISTER AVENUE, Louisville, KY, 40202
DUNS:
883519266
HUBZone Owned:
Y
Woman Owned:
N
Socially and Economically Disadvantaged:
Y
Principal Investigator
Name: Li Ge
Title: Mr
Phone: (502) 214-4176
Email: ge_li@hotmail.com
Title: Mr
Phone: (502) 214-4176
Email: ge_li@hotmail.com
Business Contact
Name: Li Ge
Title: PhD
Phone: (502) 214-4176
Email: ge_li@hotmail.com
Title: PhD
Phone: (502) 214-4176
Email: ge_li@hotmail.com
Research Institution
Name: U of Louisville
Contact: Li M Ge
Address: South Third Street
Louisville, KY, 40202 1328
Phone: (502) 214-4176
Type: Nonprofit college or university
Contact: Li M Ge
Address: South Third Street
Louisville, KY, 40202 1328
Phone: (502) 214-4176
Type: 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. *