Abstract #302323

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2003 Program page
JSM 2003 Abstract #302323
Activity Number: 359
Type: Topic Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #302323
Title: Vector-Space Relational Model for Anonymous Identity Matching
Author(s): Shawndra B. Hill*+ and Foster Provost
Companies: New York University and Stern Business School, New York University
Address: Information Systems Dept., New York, NY, 10012,
Keywords: data mining ; social network analysis
Abstract:

Anonymous fraudulent behavior can generate substantial financial burden and inconvenience. Moreover, the recent threat of terrorist infiltration to both business and government has yielded heightened interest in anonymous identity matching (AIM). Most applications of AIM require sophisticated methods robust to issues such as deliberate variation in identity attributes, missing data, and multisource data corpuses. We consider relational social network behavior, eliminating the reliance on personal identifiable data for identity matching. In particular, we consider problems that can be characterized by personal communication networks. AIM can be applied in various scenarios. For example, matching prepaid calling cards by call patterns or matching internet users by email logs. We evaluate a proposed implementation of a vector-space relational model for AIM. We discuss applications in customer profiling, fraud detection, and customer relationship management.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003