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Can I read Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30) on EtoBox?
Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30) by Chen, Hsinchun is a computer science book available to read on EtoBox.
What is Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30) about?
The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and
Who reads Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems, 30)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Chen, Hsinchun
- Publisher
- Springer Science+Business Media, LLC
- Published
- 2012
- Language
- EN
- ISBN
- 9781461415565
- Category
- computer science
- Subjects
- Computer Science, Computers, Stem
- Updated
- 2026-03-25
Other editions & translations
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