
An approach to detect malicious documents based on Data Mining techniques
Author(s) -
Дмитрий Владимирович Комашинский
Publication year - 2014
Publication title -
trudy spiiran
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 9
eISSN - 2078-9599
pISSN - 2078-9181
DOI - 10.15622/sp.26.10
Subject(s) - computer science , data mining , representation (politics) , set (abstract data type) , function (biology) , feature (linguistics) , information retrieval , linguistics , philosophy , evolutionary biology , politics , political science , law , biology , programming language