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Data-Mining
January 25th, 2006 Agenda
How
to Start a Simple Data-Mining Project - Roland Wong, Director
CAAT, Department of Education, Office of Inspector General and Scott
Oglesby will provide an overview on how to start a simple data-mining
project. This presentation will focus on Data-Mining project
undertaken to identify suspicious addresses (Commercial Mail
Receiving Agents – CMRA) without a lot of expense. The
presentation will use a case study to illustrate how the Department
of Education utilizes link analysis and how it can help investigators
to understand the fraud scheme and possible hidden relationships
Excavating Today's Data with Tomorrow's Technology? – Ed Slevin, Director CAAT, United States Postal Service, Office of Inspector General and Roland Wong, Director CAAT, Department of Education, Office of Inspector General will jointly give an overview on Data-Mining – what it is, was and will be. The presentation will cover the definition of Data-Mining, the steps in the evolution of Data-Mining, and the Data-Mining development process. Three ongoing Data-Mining projects will be discussed:
IMPAC Credit Card Interim Phase - Rules Based
RAMS - Risk Assessment Monitoring System Interim Phase - Trend Analysis
Continuous Monitoring System (CMS) - what it is and how we got there.
Data-Mining Health Care Fraud – Colonel Bill Kelly, Department of Defense, Office of Inspector General will present how to detect weaknesses and fraud with Health Care systems.
Using GIS to Improve OIG Assignments - Lauretta Ansah and Kalpana Ramakirschnan
Environmental Protection Agency, Office of Inspector General will provide an overview of Geographic Information Systems (GIS) and show how the Environmental Protection Agency OIG is utilizing GIS to improve their assignments and better understand geographic relationships that affect health.
Data-Mining Overview - John Brideweser, Technologist, Oracle Corporation will provide an overview of Business Intelligence Data-Mining Technology and the applicability of various statistical models and algorithms.