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Automated Digital Evidence Target Definition Using Outlier Analysis and Existing Evidence Brian D. Carrier Eugene H. Spafford
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Document Date: 2007-03-18 22:20:46

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File Size: 168,67 KB

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City

Detecting Graph / New Orleans / /

Company

Combined Accuracy Comp / CRC PRess / Hits Accuracy Comp / John Wiley and Sons / /

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Facility

University of Minnesota / /

IndustryTerm

data mining techniques / computer forensic analysis tools / crime scene data processing / search process / static algorithms / data mining algorithm / attack tools / spatial outlier algorithms / search tool / software packages / keyword search / file name search pattern / command line tools / fictitious tool / recommended keyword search / outlier analysis algorithms / carrier@cerias.purdue.edu / sorter tool / search hits / investigation tools / temporal search / automated scanning tools / automated search technique / search phase / /

OperatingSystem

Unix / Linux / Unix system / Microsoft Windows / /

Organization

Purdue University / Center for Education and Research / University of Minnesota / /

Person

Chang tien Lu / Shashi Shekhar / Timothy Palmbach / Directory / Karl Levitt / Nicole Lang Beebe / Norah Rudin / Pusheng Zhang / Micheline Kamber / Keith Inman / Addison Wesley / Tye Stallard / Jan Guynes Clark / Marilyn Miller / Jiawei Han / Eugene H. Spafford / Toby Lewis / Brian D. Carrier / Tien Lu / Henry Lee / Vic Barnett / /

Position

investigator / experienced investigator / /

Product

Mahalanobis / /

ProgrammingLanguage

HTML / Perl / /

ProvinceOrState

Minnesota / Indiana / /

Technology

XML / bmp / Linux system / outlier analysis algorithms / Unix / spatial outlier algorithms / Perl / HTML / ASCII / Unix system / modified algorithm / data mining / data mining algorithm / developed using Perl / /

URL

http /

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