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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wingyan Chung Wen Tang |
| Copyright Year | 2012 |
| Description | Author affiliation: UNC Fayetteville State University, School of Business and Economics, North Carolina 28301, USA (Wingyan Chung) || UNC Fayetteville State University, Department of Mathematics and Computer Science, North Carolina 28301, USA (Wen Tang) |
| Abstract | As the trend of domestic terrorism grows rapidly, using web collections to support online surveillance should help intelligence and security personnel track down the sinister activities on the web. In this research, we have developed a collection of U.S. domestic terrorism websites and have conducted preliminary analysis of the sites' content and usage. We developed a novel approach to extracting textual, hyperlink, and usage information from websites. Our ongoing works include discovering hidden patterns from a collection of U.S. domestic terrorism websites and uncovering interesting usage and content patterns. This work should contribute to the area of online security surveillance using website data. |
| Starting Page | 195 |
| Ending Page | 195 |
| File Size | 317858 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781467321051 |
| e-ISBN | 9781467321044 |
| DOI | 10.1109/ISI.2012.6284306 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Terrorism Surveillance USA Councils web mining Web pages data mining Educational institutions Feature extraction text mining domestic terrorism web collection online surveillance |
| Content Type | Text |
| Resource Type | Article |
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