Dark Web : exploring and data mining the dark side of the web

This book describes the Dark Web landscape of international terrorism, suggests a systematic, computational approach to understanding its problems, and presents techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team

Bibliographic Details
Main Author: Hsinchun, Chen (Author)
Format: Book
Language:English
Published: New York : Springer , c2012
Series:Integrated series in information systems v30
Subjects:

MARC

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090 0 0 |a QA76.9.D343   |b H75 2012 
100 1 |a Hsinchun, Chen ,   |e author 
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260 |a New York :   |b Springer ,   |c c2012 
300 |a xxvi, 451 p. :   |b ill. (some col.) ;   |c 24 cm. 
490 1 |a Integrated series in information systems   |v v30 
504 |a Includes bibliographical references and index 
520 |a This book describes the Dark Web landscape of international terrorism, suggests a systematic, computational approach to understanding its problems, and presents techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team 
650 0 |a Data mining 
650 0 |a Internet 
650 0 |a Internet and terrorism 
650 0 |a World Wide Web 
999 |a 1000152679   |b Book   |c OPEN SHELF (30 DAYS)   |e Gong Badak Campus