Your criminal FICO score

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dc.contributor.advisorNieto-Gomez, Rodrigo
dc.contributor.advisorRollins, John
dc.contributor.authorTonelli, Michelle
dc.contributor.departmentNational Security Affairs (NSA)
dc.dateSep-16
dc.date.accessioned2016-11-02T17:18:11Z
dc.date.available2016-11-02T17:18:11Z
dc.date.issued2016-09
dc.description.abstractOne of the more contentious uses of big data analytics in homeland security is predictive policing, which harnesses big data to allocate police resources, decrease crime, and increase public safety. While predictive analytics has long been in use to forecast human behavior, the framework has not proved to be a flawless undertaking. In an effort to improve outcomes of predictive policing, this thesis assesses two high-profile programs—the nation's most popular credit-scoring system and a federal flight-risk program—to determine the greatest pitfalls inherent to programs using predictive analytics. The programs are assessed using what is commonly known in big data as the four Vs—volume, velocity, variety, veracity—but with an added component of the author's creation: verification. Through this framework, it became apparent that the hardest Vs for any predictive policing program to fulfill are veracity and verification. As the field of predictive policing expands, programs face the challenge of ensuring that data used for analysis is accurate and remains accurate, and that the metrics used to verify risk assessments are sound.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.recognitionOutstanding Thesis
dc.description.serviceAttorney-Advisor, Office of General Counsel, Department of Homeland Securityen_US
dc.description.urihttp://archive.org/details/yourcriminalfico1094550496
dc.identifier.urihttps://hdl.handle.net/10945/50496
dc.publisherMonterey, CA; Naval Postgraduate School
dc.relation.ispartofseriesNPS Outstanding Theses and Dissertations
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.subject.authorpredictive policingen_US
dc.subject.authorpredictive analyticsen_US
dc.subject.authorFICOen_US
dc.subject.authorSecure Flighten_US
dc.subject.authorFive Vsen_US
dc.subject.authorrisk assessmentsen_US
dc.subject.authorbig dataen_US
dc.titleYour criminal FICO scoreen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineSecurity Studies (Homeland Security and Defense)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Arts in Security Studies (Homeland Security and Defense)en_US
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