Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Link opens in a new tab
Search content at Ben-Gurion University Research Portal
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Projects
Activities
Datasets
Research Labs
Using data mining techniques for detecting terror-related activities on the web
Y Elovici
, A Kandel
,
M Last
,
B Shapira
, O Zaafrany
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Using data mining techniques for detecting terror-related activities on the web'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Terror
100%
Terrorist
100%
Data Mining Techniques
100%
Proposed Methodology
50%
Real-time Detection
50%
Receiver Operating Characteristic Analysis
50%
Terrorist Activities
50%
Textual Content
50%
Innovative Knowledge
50%
Typical Behavior
50%
Knowledge-based Method
50%
Intrusion Detection System
50%
Web Traffic
50%
Audit Information
50%
Behavior Profile
50%
Computer Science
Textual Content
100%
Data Mining Technique
100%
Data Mining Algorithm
100%
Intrusion Detection System
100%
Audit Information
100%
Engineering
Data-Mining Technique
100%
Intrusion Detection System
100%