Title

Feature Set Selection In Data Mining Techniques For Unknown Virus Detection - A Comparison Study

Keywords

Data mining; Feature selection; Feature set; Virus detection

Abstract

Detecting unknown viruses is a challenging research topic. Data mining approaches have been used to detect unknown viruses. The key to data mining lies on the feature set to be used. There are several different approaches have been tried before, simple heuristics, static features and dynamic features. In this paper, we present several different data mining approaches and compare the result of these approaches. Copyright © 2009 ACM.

Publication Date

11-9-2009

Publication Title

ACM International Conference Proceeding Series

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1558607.1558672

Socpus ID

70350643652 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/70350643652

This document is currently not available here.

Share

COinS