cj8664 Goto Github PK

followers: 1.0 following: 2.0 repos: 34.0 gists: 0.0

Name: Chirag Jain

Type: User

Company: Meta

Bio: I am a versatile and productive Team player with a passion and 6+ years of experience in Distributed computing, Backend Technology and Data Analytics I can

Location: United States

Blog: https://chiragjain.info/

Chirag Jain's Projects

advent_of_code

Practicing problems from https://adventofcode.com/

bluffmaster

A Java Desktop Game based on TV game show

carsuggestor

A small application that suggests a car based on user's personality and lifestyle

One of the most important questions people ask before moving to a new place or traveling is: Is this locality safe? We answer this question using co-location pattern mining. Our crime predictor gives the possibility of all crimes that can happen given the presence of certain geographical entities and certain crimes in the locality. Given a set of boolean spatial features, the co-location pattern discovery process finds the subsets of features frequently located together. We have used a transaction free approach for this using Haversine distance as a metric for finding proximity neighborhood and measuring all spatial autocorrelations. We also propose an improvement to distance measure approach while calculating R-proximity neighborhood using boundary window. We used distance and participation thresholds for determining the correlation between features and crimes. Our algorithm exploits the anti-monotone property and optimizes the co-location pattern discovery algorithm by prevalence based pruning.