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

By Christopher Westphal

In 2004, the govt responsibility place of work supplied a record detailing nearly two hundred government-based data-mining tasks. whereas there's convenience in figuring out that there are numerous powerful platforms, that convenience isn’t worthy a lot until we will be able to be sure that those platforms are being successfully and responsibly employed.

Written by means of the most revered experts within the sector of information mining and security, information Mining for Intelligence, Fraud & legal Detection: complicated Analytics & details Sharing Technologies studies the tangible effects produced by way of those platforms and evaluates their effectiveness. whereas CSI-type exhibits might depict details sharing and research which are complete with the frenzy of a button, this kind of skillability is extra fiction than fact. Going past a dialogue of many of the applied sciences, the writer outlines the problems of data sharing and the potent interpretation of effects, that are severe to any built-in place of birth defense attempt.

Organized into 3 major sections, the publication totally examines and descriptions the way forward for this box with an insider’s point of view and a visionary’s perception.

  • Section 1 offers a basic knowing of the categories of information that may be utilized in present structures. It covers techniques to reading information and obviously delineates tips on how to attach the dots between diverse info elements
  • Section 2 presents real-world examples derived from real operational structures to teach how facts is used, manipulated, and interpreted in domain names related to human smuggling, cash laundering, narcotics trafficking, and company fraud
  • Section three offers an summary of the various information-sharing platforms, corporations, and activity forces in addition to info interchange codecs. It additionally discusses optimum information-sharing and analytical architectures

Currently, there's little or no released literature that really defines real-world platforms. even if politics and different elements all play into how a lot one business enterprise is keen to help the sharing of its assets, many now embody the knowledge of that direction. This publication will supply these people with an knowing of what ways are presently on hand and the way they are often such a lot successfully hired.

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Extra info for Data Mining for Intelligence, Fraud & Criminal Detection: Advanced

Sample text

Unfortunately, referential sources based solely on people’s names are fraught with potential problems including inaccurate and incomplete data that can result in a number of false-positive matches. a. ARROYAVE RUIZ, Elkin Alberto), Carrera 9 No. 71D-10, Cali, Colombia; DOB 3 Sep 1968; POB Caucasia, Antioquia, Colombia; Cedula No. 4652820 (Colombia) (individual) [SDNTK] Based on the information provided, this Colombian national is approximately 40 years of age and can be uniquely defined by his Cedula number (a national identification similar to a Social Security number).

The concept is fairly straightforward—to bring it all together in one place where it could be collectively analyzed. This approach presents many technical challenges that must be overcome, including data aggregation, scalability, security, sheer physical storage of the masses of information, and issues associated with control and accountability— not to mention the timeliness with which the data is updated and that it tends to flow in only one direction. Overall, it represents an overcomplicated, outdated, and expensive proposition that does not scale very well.

Large budgets and discretionary funds are used to create customized, home-grown systems that are neither scalable nor adaptive and most likely will not meet the current or future needs of their creators. Sadly, most customized systems are reinventing the wheel each time and they quickly become legacy systems before the project period of performance ends. Large system integrators have their talents, but are not necessarily 28 OVERVIEW the best choice for achieving the “right” system due to the fundamental confl ict of interest (COI) of being paid for delivering services and personnel, rather than reliable, robust, and operational systems that take minimal tuning and resources to operate.

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