DATA MINING IN HOMELAND SECURITY
Abstract
Data Mining is an analytical process that primarily involves searching through vast amounts of data to spot useful, but initially undiscovered, patterns. The data mining process typically involves three major steps—exploration, model building and validation and finally, deployment.

Data mining is used in numerous applications, particularly business related endeavors such as market segmentation, customer churn, fraud detection, direct marketing, interactive marketing, market basket analysis and trend analysis. However, since the 1993 World Trade Center bombing and the terrorist attacks of September 11, data mining has increasingly been used in homeland security efforts.

Two of the earlier homeland security programs were the Total Information Awareness Program (TIA) and the Computer-Assisted Passenger Prescreening System (CAPPS II). Privacy and other concerns led to the eventual demise of these programs.

In addition to......

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Title: Data Mining In Homeland Security
Approximate Word Count: 4543
Approximate Pages: 19 (250 words per double-spaced page)

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