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This algorithm will analyse and detect patterns of past years crime data and predicts areas and windows of time that are high at risk.
Santa Cruz's predictive policing program This algorithm will analyse and detect patterns of past years crime data and predicts areas and windows of time that are high at risk. 5.
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Then, the P-DPA algorithm will analyse only the personal history of a specific individual, which is different from other collaborative/clustering prediction style approaches.
The P-DPA algorithm will analyse up to a history window of 2 years of the different trajectories made by a targeted individual on the same day of the week e.g. to predict a D-trajectory for a Wednesday, we look at the D-trajectories for all Wednesdays in the last 2 years.
However, this algorithm will introduce some problems.
This algorithm will be designed based on machine learning principles.
This algorithm will provide an exact, closed-form solution.
A full description of this algorithm will be reported elsewhere.
Thereinafter, for the sake of brevity, this algorithm will be called the "Smith-Waterman algorithm".
It is intended that this algorithm will be useful in a clinical and developmental setting.
Once validated, this algorithm will also aid the ophthalmologist in patient follow-up and treatment optimisation.
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