Knowledge Discovery for Counterterrorism and Law Enforcement

Zusatztext The writing is organized! clear! and free of technical jargon and mathematicalnotation. ? In summary! this is a highly readable introduction to an interesting field. While it is certainly a valuable introductory resource for the technically adept! it is alsoappropriate for those with the desire to understand the applicability! potential!and limitations of computer-assisted knowledge discovery techniques incounterterrorism and law enforcement.-Computing Reviews! September 2009 Informationen zum Autor Skillicorn! David Zusammenfassung Presents a fresh approach to knowledge discovery in adversarial settings. Focusing on the four main applications areas in knowledge discovery (prediction, clustering, relationship discovery, and textual analysis), this book discusses opportunities for concealment that exist and recommends tactics that can aid in detecting them. Inhaltsverzeichnis Introduction. Data. High-Level Principles. Looking for Risk - Prediction and Anomaly Detection. Looking for Similarity – Clustering. Looking Inside Groups - Relationship Discovery. Discovery from Public Textual Data. Discovery in Private Communication. Discovering Mental and Emotional State. The Bottom Line.

Product details

• Authors: David Skillicorn, David (Queen's University Skillicorn, David (Queen''s University Skillicorn, Skillicorn David
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 13.11.2008
• EAN: 9781420073997
• ISBN: 978-1-4200-7399-7
• No. of pages: 350
• Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series; Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; LAW / Forensic Science, SOCIAL SCIENCE / Criminology, POLITICAL SCIENCE / Terrorism, Society & culture: general, COMPUTERS / Programming / Games, computer science, Terrorism, armed struggle, Society and culture: general, Crime and criminology, Crime & criminology, Databases, COMPUTERS / Data Science / Data Analytics