Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies

Description

Every organization, bureau, agency, and corporation has fundamental analytical needs that traditionally require a significant amount of data integration and resources. Whether investigating money laundering, insider trading, insurance fraud, or terrorist behavior, the analytical processes and systems architectures are very similar. In fact, the types of patterns exposed in one domain can often be translated into another. This book reviews the commonality, framework, and infrastructures necessary to implement complex analytical systems. It addresses analytical approaches, technologies, and methodologies, as well as information sharing and how current fusion-centers are being architected.





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