Abstract Proceedings of IESMDT - 2021
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CRIME RATE PREDICTION
Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily purposes, and many times in our everyday lives we face numerous safety problems such as hijack, kidnapping, and harassment. In general, we see that when we need to go anywhere at first, we are searching for Google Maps; Google Maps show one, two, or more ways to get to the destination, but we always choose the shortcut route, but we do not understand the path situation correctly. Is it really secure or not that’s why we face many unpleasant circumstances; in this job, we use different clustering approaches of data mining to analyze the crime rate of Bangladesh and we also use K-nearest neighbor (KNN) algorithm to train our dataset. For our job, we are using main and secondary data. By analyzing the data, we find out for many places the prediction rate of different crimes and use the algorithm to determine the prediction rate of the path.
Analysis of crime , K-nearest neighbor
17/09/2021
226
IESMDT224
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025