By Christopher Westphal
In 2004, the govt responsibility workplace supplied a record detailing nearly two hundred government-based data-mining tasks. whereas there's convenience in understanding that there are numerous powerful structures, that convenience isn’t worthy a lot except we will make sure that those structures are being successfully and responsibly employed.
Written via some of the most revered experts within the zone of information mining and security, info Mining for Intelligence, Fraud & felony Detection: complicated Analytics & info Sharing Technologies reports the tangible effects produced by way of those platforms and evaluates their effectiveness. whereas CSI-type exhibits may perhaps depict details sharing and research which are comprehensive with the rush of a button, this type of talent is extra fiction than truth. Going past a dialogue of some of the applied sciences, the writer outlines the problems of knowledge sharing and the potent interpretation of effects, that are severe to any built-in place of birth safeguard attempt.
Organized into 3 major sections, the e-book 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 primary figuring out of the kinds of knowledge that may be utilized in present platforms. It covers ways to interpreting info and obviously delineates how you can attach the dots between assorted facts elements
- Section 2 offers real-world examples derived from real operational platforms to teach how info is used, manipulated, and interpreted in domain names related to human smuggling, funds laundering, narcotics trafficking, and company fraud
- Section three offers an outline of the various information-sharing structures, businesses, and job 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 supposing politics and different components all play into how a lot one employer is keen to aid the sharing of its assets, many now embody the knowledge of that course. This e-book will supply these people with an realizing of what ways are at present to be had and the way they are often so much successfully hired.
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Additional info for Data Mining for Intelligence, Fraud & Criminal Detection: Advanced
Will the existing templates ﬂag these events? Will the data be available? Will the analyst know what to look for? It is critical that the analytical methodologies used in these types of environments are ﬂexible and adaptive to help ﬁ nd different variations in the patterns of interest. Keep in mind that there are no right answers and there are no wrong answers. Any templates deﬁ ned to help expose probable targets of interest should ultimately be reviewed by a human analyst to determine if the template was properly applied, and most important, to determine if there are any exceptions to the rule.
Moreover, the entire system of 50 locations is real-time and each location retains full control over the dissemination of their data. 30 OVERVIEW Additionally, using a traditional data warehouse approach requires that the format of the data be changed into a single composite representation. This makes users subject to the decisions made by a remote party, which may not reﬂect their particular needs. In a distributed approach, each format remains intact while utilizing access and transformation features to add value to the end results.
Often, there is no consistency among the sources, the values represented, or their internal structures. The investigation starts off where a subject6 with the name “Brad Q. Billings” has been causing some problems around town and is currently under suspicion for a number of narcotics-related incidents including burglary, assault, and the intent to distribute methamphetamines. 2 is depicted with a speciﬁc date of birth used to help distinguish him from other people with similar names. ), scars/tattoos, known aliases, are represented as descriptive “attributes” of the entity and can be viewed7 through other reporting and detailing mechanisms.
Data Mining for Intelligence, Fraud & Criminal Detection: Advanced by Christopher Westphal