By Colleen McCue
It's now attainable to foretell the long run by way of crime. In facts Mining and Predictive Analysis, Dr. Colleen McCue describes not just the chances for info mining to aid legislation enforcement pros, but in addition presents real-world examples exhibiting how info mining has pointed out crime tendencies, expected group hot-spots, and sophisticated source deployment judgements. during this e-book Dr. McCue describes her use of "off the shelf" software program to graphically depict crime developments and to foretell the place destiny crimes are inclined to ensue. Armed with this information, legislation enforcement executives can enhance "risk-based deployment strategies," that permit them to make educated and cost-effective staffing judgements in line with the chance of particular legal activity.
Knowledge of complicated information isn't really a prerequisite for utilizing Data Mining and Predictive Analysis. The publication is a place to begin for these pondering utilizing info mining in a legislations enforcement environment. It presents terminology, innovations, sensible program of those ideas, and examples to focus on particular thoughts and methods in crime and intelligence research, which legislation enforcement and intelligence execs can tailor to their very own distinct scenario and duties.
* Serves as a beneficial reference software for either the coed and the legislation enforcement professional
* comprises sensible details utilized in real-life legislation enforcement situations
* method is particularly straight forward, conveying refined analyses in useful phrases
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Extra info for Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis
Example text
With this real time, value-added analysis, the officer can make quick, information-based operational decisions that result in a rapid apprehension of the criminal. This is handled similarly when an agent in a remote location is debriefing a suspected terrorist. The verbal information is recorded and transcribed directly into a free format text file using voice recognition software. The file is then uploaded to an analytical fusion center a thousand miles away. An analyst there uses sophisticated text mining technology to probe and characterize the results of the interview.
The confusion matrix is an important example of a good practice in analysis. It can be extremely valuable to challenge the results, push them around a bit analytically and see what happens, or look at them in a different analytical light. Again, the confusion matrix allows analysts to drill down and examine what is contributing to the overall accuracy of the model. Then they can make an informed decision about whether to accept the model or to continue working on it until the errors are distributed in a fashion that makes sense in light of the overall public safety or intelligence objective.
While it is tempting to pass this task along to outside consultants or statistical gurus, professionals in the public safety arena have a solemn responsibility to those they serve to ensure that they receive the best service possible. Given the domain expertise and experience within the organization, it does not make sense to abdicate this function to someone who might not have the same level of knowledge or understanding just because they have some skills with analytical software. One of the most exciting aspects associated with the newer generation of data mining software applications is that they are intuitive enough to enable even “mere mortals” access to these powerful crime-fighting techniques, which will allow law enforcement and intelligence personnel the opportunity to analyze their own data.