Get Dark Web: Exploring and Data Mining the Dark Side of the PDF

By Hsinchun Chen

The college of Arizona synthetic Intelligence Lab (AI Lab) darkish net venture is a long term clinical learn application that goals to review and comprehend the foreign terrorism (Jihadist) phenomena through a computational, data-centric method. We target to assemble "ALL" websites generated by way of foreign terrorist teams, together with sites, boards, chat rooms, blogs, social networking websites, video clips, digital global, and so on. we've got constructed numerous multilingual facts mining, textual content mining, and net mining strategies to accomplish hyperlink research, content material research, net metrics (technical sophistication) research, sentiment research, authorship research, and video research in our study. The techniques and techniques built during this undertaking give a contribution to advancing the sphere of Intelligence and safety Informatics (ISI). Such advances might help similar stakeholders to accomplish terrorism examine and facilitate overseas safeguard and peace.

This monograph goals to supply an summary of the darkish net panorama, recommend a scientific, computational method of realizing the issues, and illustrate with chosen thoughts, equipment, and case experiences built through the collage of Arizona AI Lab darkish net staff individuals. This paintings goals to supply an interdisciplinary and comprehensible monograph approximately darkish net examine alongside 3 dimensions: methodological matters in darkish internet learn; database and computational innovations to help info assortment and knowledge mining; and felony, social, privateness, and knowledge confidentiality demanding situations and approaches.  it is going to carry worthy wisdom to scientists, defense execs, counterterrorism specialists, and coverage makers. The monograph can additionally function a reference fabric or textbook in graduate point classes with regards to info defense, details coverage, details coverage, info platforms, terrorism, and public policy.

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Dark Web: Exploring and Data Mining the Dark Side of the Web: 30 (Integrated Series in Information Systems) by Hsinchun Chen


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