Bayesian Prediction In Police-Crime Investigation Management System
作者： N. Senthil Selvan , J. Sethuraman , K. R. Sekar
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摘要: The paper titled as "Bayesian prediction in Police-crime investigation management system" is a web based project that provides an online portal for ordinary citizens to file complaints on crimes, view their status, and report missing persons without having visit actual police station. Similarly the intelligence department can show most-wanted person through tracing area of accused involved crime by applying bayes algorithm. users have create login accessing data complaint they authorize them using "Voter ID" or "Aadhar card" documents issued Government. Admin has give response user's issues. Investigator investigate details predicts who crime. Keyword-Bayesian Prediction, Crime Management System I. INTRODUCTION traditional way visiting station time consuming, minimum transparency. In existing system only we see particular information about stations our state, more workload authorized person, but case proposed system, user register application send social person. allows his unique credentials - voter ID, Aadhar Card identification government. addition filing complaints, visitor updates are administrator, also provide feedback higher officials absence adequate action. administrator update criminal history sheet database. fast tracks processes huge margin, while providing security, consistency, better service via user-friendly medium. After getting with registered process will takes place. At end investigation, previously processed government records be taken training sets witness record pattern. BAYES Theorem applied trace crime/suspect. When implemented at scale, could fast-track judicial make lesser crimes. operations carried creating interface whereby storage retrieval out, which reports registered. Pattern created another algorithm target attribute. main module Investigator.
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