Titlebook: Counterterrorism and Open Source Intelligence; Uffe Kock Wiil Book 2011 Springer-Verlag/Wien 2011 Counterterrorism.Data Mining.Open Source

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Counterterrorism Mining for Individuals Semantically-Similar to Watchlist Membersmbers. One of the main ways a watchlist is expanded is by monitoring the emergence of new persons who establish contact with those on the list. Unfortunately, this severely limits the time horizon for managing risks of dark network behaviors because individuals are already actively involved with one

Plaque

Detection of Illegitimate Emails Using Boosting Algorithmthe receiver or for the society. We have divided the problem into two major areas of illegitimate email detection: suspicious email detection and spam email detection. For our desired task, we have applied a boosting technique. With the use of boosting we can achieve high accuracy of traditional cla

玩笑

Cluster Based Text Classification Modelrise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases the accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the comm

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Offbeat

性學院

Book 2011 has been considerable interest recently in technological strategies and resources to counter acts of terrorism. In this context, this book provides a state-of-the-art survey of the most recent advances in the field of counterterrorism and open source intelligence, demonstrating how various existing

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Book 2011 as well as novel tools and techniques can be applied in combating covert terrorist networks. A particular focus will be on future challenges of open source intelligence and perspectives on how to effectively operate in order to prevent terrorist activities.

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into the structure of covert social networks from the limited and fragmentary data gathered from intelligence operations or open sources. A protocol for predicting the existence of hidden “key-players” covert in social networks is given.