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Statistics about Neural Networks as a Remedy to Big Data in Law Enforcement

Assignment id 1006259
Discipline Self Improvement
Assignment type Essay
Words 2707
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1. INTRODUCTION "This is a capital mistake to theorize before you have all the evidence. It biases the judgment." This quotation is from the fictional master detective Sherlock Holmes, the protagonist of Sir Arthur Conan Doyle's detective novels (2004). Sherlock Holmes knew the value of collecting data and analyzing it completely before trying to address a crime, and also this inductive technique remains the trademark of a fantastic criminal investigator. Today, databases and record rooms abound with information about various crimes, information that if looked at holistically could can frequently result in the misuse of the perpetrator. Unfortunately, just because the information is available doesn't mean it is readily analyzed. The number of information in law enforcement databases has gotten so big that even a team of investigators of Sherlock Holmes' grade would not have the ability to perform as the master detective indicates and analyze all of it before drawing some conclusions. Contemporary law enforcement agencies keep massive databases on all sorts of information which could potentially result in a breakthrough in an investigation. Crime places, offense reports, weather information, offender descriptions, and criminal profiles, are all placed in enormous databases across the world. The LAPD alone contains documents containing information on over fifty million offenses (The Age of Big Data, 2013). If examined completely, all or even some of this info could reveal patterns which would point researchers to some suspect or suspects in many cases. Unfortunately, attempting to discern similarities and patterns from these gigantic data sets would take decades, maybe even centuries, for people and would be an exercise in futility. It is, however, a perfectly sensible endeavor.

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