Download PDF by Christopher Westphal: Data Mining for Intelligence, Fraud & Criminal Detection:

By Christopher Westphal

ISBN-10: 1420067230

ISBN-13: 9781420067231

ISBN-10: 1420067249

ISBN-13: 9781420067248

In 2004, the govt. responsibility place of work supplied a record detailing nearly two hundred government-based data-mining initiatives. whereas there's convenience in figuring out that there are numerous powerful platforms, that convenience isn’t worthy a lot except we will make certain that those platforms are being successfully and responsibly hired. Written by means of probably the most revered experts within the region of knowledge mining and safeguard, facts Mining for Intelligence, Fraud & legal Detection: complicated Analytics & info Sharing applied sciences studies the tangible effects produced through those platforms and evaluates their effectiveness. whereas CSI-type indicates may possibly depict info sharing and research which are finished with the frenzy of a button, this type of talent is extra fiction than fact. Going past a dialogue of many of the applied sciences, the writer outlines the problems of knowledge sharing and the powerful interpretation of effects, that are severe to any built-in fatherland protection attempt. prepared into 3 major sections, the e-book absolutely examines and descriptions the way forward for this box with an insider’s point of view and a visionary’s perception. part 1 offers a basic realizing of the kinds of knowledge that may be utilized in present platforms. It covers methods to studying facts and obviously delineates the best way to attach the dots between assorted info components part 2 offers real-world examples derived from real operational structures to teach how info is used, manipulated, and interpreted in domain names concerning human smuggling, funds laundering, narcotics trafficking, and company fraud part three offers an outline of the various information-sharing platforms, agencies, and activity forces in addition to information interchange codecs. It additionally discusses optimum information-sharing and analytical architectures at present, there's little or no released literature that actually defines real-world structures. even if politics and different components all play into how a lot one enterprise is prepared to help the sharing of its assets, many now embody the knowledge of that direction. This publication will offer these people with an knowing of what methods are presently on hand and the way they are often such a lot successfully hired.

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

Example text

Simply identifying the data to answer these questions can help determine what “dots” need to be connected. Regrettably, for many organizations, it is not known what sources of data are even available, how to combine those sources that are ultimately identified, or, fundamentally, what patterns are of importance. Often, the data is not readily accessible, is controlled by a different group, or does not contain the proper information. So the question becomes: What is the sequence or order in which the dots are connected and what happens when there are missing dots?

Regrettably, for many organizations, it is not known what sources of data are even available, how to combine those sources that are ultimately identified, or, fundamentally, what patterns are of importance. Often, the data is not readily accessible, is controlled by a different group, or does not contain the proper information. So the question becomes: What is the sequence or order in which the dots are connected and what happens when there are missing dots? , connect the dots) will be based on known scenarios and can certainly be automated wherever possible.

14 presents a diagram that is somewhat generic, shows some basic connections as well as a few indirect associations, and overall represents a vanilla network without too much fanfare. 15 depicts a much more interesting and actionable network: Our main subject has been involved in a prior case, the primary phone is a pay phone located at the corner convenience store, one of the subjects is using a dead person’s SSN number, and a subject matching a name on the terrorist watch list is involved in a majority of the defi ned events.

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


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