Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
Date of Award
2011
Document Type
Thesis
Degree Name
Master of Science in Computer Science, Straight
Department
Information Systems & Computer Science
Abstract
Many malware detectors utilize data mining techniques as primary tools for pattern recognition. As malware continue to be produced at an increasing rate, so does the need more efficient and effective detectors. However, detection speed and accuracy are us
Recommended Citation
JEFFREY, Y.
(2011). Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection. Ateneo de Manila University.
https://archium.ateneo.edu/theses-dissertations/164
COinS
Comments
The C7.Y58 2011