Perth / Redmond / New York / Washington / DC / Berlin / Atlanta / Sao Paulo / Mountain View / /
Company
Twitter / ACM Press / Web Page - FP SA / S. M. Labs / MessageLabs / /
Country
United States / Brazil / /
Currency
USD / / /
Facility
Brazilian National Institute of Science / International Computer Science Institute / University of Vienna / /
IndustryTerm
real-time system / busy e-mail server / real-time use / knowledge management / data mining / demand-driven lazy classification algorithm / lazy machine learning algorithm / demand-driven associative classifier algorithm / spam distributing server / possible solution / classifier systems / search engines / heavy mail server / Internet Scam Hosting Infrastructure / association mining / pharmaceutical products / page processing / /
Organization
MessageLabs Intelligence / Faculty of Computer Science / International Computer Science Institute / Brazilian National Institute of Science and Technology for the Web / Congress / University of Vienna / Brazilian Network Information Center / Universidade Federal de Minas Gerais / IEEE Computer Society / /
Person
R. Lipton / S. Webb / C. Pu / Leonardo Vilela / W. Lee / N. Weaver / V / W. Meira Jr. / Marcelo H.P.C Chaves / O. Kolesnikov / Klaus Steding-Jessen / Adriano Veloso / Pedro H. Calais Guerra / A. Veloso / J. Ma / V / Marco Túlio Ribeiro / Wagner Meira Jr. / /
Position
editor / /
Product
Perl Modules URI /
ProgrammingLanguage
HTML / Perl / DC / JavaScript / /
ProvinceOrState
Western Australia / New York / Washington / California / Georgia / /
Spam Detection Using Web Page Content: a New Battleground Marco Túlio Ribeiro, Pedro H. Calais Guerra, Leonardo Vilela, Adriano Veloso, Dorgival Guedes∗, Wagner Meira Jr. Universidade Federal de Minas Gerais (UFMG) Be