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Information / Anti-spam techniques / Spam / Social bookmarking / Email spam / Tag / Naive Bayes classifier / Folksonomy / Bayesian spam filtering / Spamming / Internet / Computing


Document Date: 2008-05-12 09:34:41

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San Francisco / New York / Berlin / Beijing / Budva / /

Company

Aalborg University Press / Google / Morgan Kaufmann Publishers Inc. / Emerging Technologies / Future / D. Frankowski / /

Country

Montenegro / United States / China / Denmark / /

Event

Business Partnership / Product Recall / Product Issues / /

Facility

Data Engineering Group University of Kassel / /

IndustryTerm

Web spam detection / web content / e-mailaddress / web spam / web topology / users posting web sites / recommender systems / social web sites / collaborative tagging systems / feature / social bookmarking systems / classification algorithm / social media / malicious web content / target spam web site / Internet Computing / search engines / social tagging systems / classification algorithms / social bookmarking site / tripartite network / social networks / web spam classifiers using link structure / learning algorithms / spam web pages / /

Organization

Aalborg University / EU RD / idf / European Commission / FP SVM / Social Bookmarking Systems Beate Krause Andreas Hotho Christoph Schmitz Gerd Stumme Knowledge & Data Engineering Group University of Kassel / /

Person

A. Baldassarri / V / Morgan Kaufmann / A. Gionis / V / D. P. Servedio / V / Christoph Schmitz Gerd Stumme / Beate Krause Andreas Hotho Christoph / /

/

Position

rt / General / model / /

Product

Weka / P2P+R / LibSVM / /

ProgrammingLanguage

Java / FP / /

ProvinceOrState

New York / /

PublishedMedium

Lecture Notes in Computer Science / D-Lib Magazine / /

Technology

three algorithms / machine learning / classification algorithm / Java / classification algorithms / Data Mining / /

URL

http /

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