Murder Accountability Project: The Hargrove Algorithm

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Recommended: Data Mining for Serial Killer Clusts

Through the creation of the Murder Accountability Project, Thomas Hargrove developed the Hargrove Algorithm which “uses FBI homicide data to identify clusters of murders with an elevated probability of containing serial killings” (“Who We Are,” 2017). Therefore, the algorithm utilizes data mining to target cases with similar methods of killing in a specific geographical area. As serial killers are known to have a specific modus operandi, this data mining tool can efficiently detect hard to see patterns over large periods of time which would take criminal investigators years, if at all, to correlate. “The algorithm’s identification of 15 unsolved strangulations in Gary was corroborated in 2014 with the arrest of Darren Deon Vann, who confessed

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