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Titlebook: Intelligence and Security Informatics; Techniques and Appli Hsinchun Chen,Christopher C. Yang Book 2008 Springer-Verlag Berlin Heidelberg 2

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Modeling Anticipatory Event Transitionstection (AED) framework for modeling a general event from online news articles. We analyze each news document using a combination of features including text content, term burstiness, and date/time stamp. Machine learning techniques such as classification, clustering, and natural language understandi
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Name Matching in Law Enforcement Database proposed are using “.” as an illustration of how to deal with dirty data, the proposed approaches will be extended to other types of dirty data in the law enforcement databases, such as addresses, stolen item/article names/descriptions/brand names, etc.
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A Data Miner’s Approach to Country Corruption Analysis part of the data and used to forecast corruption for other countries. Large deviations for specific countries between these models’ predictions and the actual values can prove useful for further research. Finally, projection of the forecasts onto a self organizing map allows a detailed comparison b
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Suspect Vehicle Identification for Border Safetyes judged by domain experts show that the heuristic-enhanced MI performs significantly better than classical MI in identifying pairs of potentially criminal vehicles. The techniques described can be used to assist CBP agents perform their functions both efficiently and effectively.
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