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Information retrieval / Data mining / Multivariate statistics / Stylometry / Cluster analysis / K-means clustering / Search engine indexing / HTML / Anonymity / Statistics / Information science / Science


Use Fewer Instances of the Letter ā€œiā€: Toward Writing Style Anonymization Andrew W.E. McDonald, Sadia Afroz, Aylin Caliskan, Ariel Stolerman, and Rachel Greenstadt Drexel University, Philadelphia, PA {awm32,sa499,ac9
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Document Date: 2012-11-30 19:10:23


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File Size: 1,06 MB

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City

Damascus / /

Company

PCG0 / The Privacy Enhancing Technologies / /

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Event

M&A / /

Facility

Rachel Greenstadt Drexel University / /

IndustryTerm

k-means algorithm / prioritization algorithms / ak-means algorithm / even basic stylometry systems / non-handwritten communications / text pre-processing tools / neural networks / k-means++ algorithm / circumvention systems / nth document cluster / initialization algorithm / cluster / feature post-processing tools / text preprocessing tools / onion routing systems / modified k-means clustering algorithm / open-source software / circumvention tools / feature post-processing / /

Organization

US Federal Reserve / Drexel University / Philadelphia / Federal Bureau of Investigation / /

Person

Rachel Greenstadt / Brennan / Andrew W.E. McDonald / Ariel Stolerman / /

Position

author / feature extractor / Problem Statement An author / /

Product

Anonymouth / /

ProgrammingLanguage

Java / /

Technology

k-means algorithm / modified k-means clustering algorithm / neural network / artificial intelligence / Java / 2009 Technology / machine translation / API / k-means++ algorithm / ak-means algorithm / prioritization algorithms / machine learning / initialization algorithm / /

URL

http /

SocialTag