System for crime rate prediction and analysis using k-means clustering algorithm, uses K-means algorithm to cluster co- offenders, collaboration and dissolution of organized crime groups, for identifying relevant crime patterns, hidden links, link prediction and statistical analysis of crime data
	KALIYAMURTHIE K P; BHAVANA D; MOHAN V; DEEPAK K; NAIK B G; BHARATH B V; VASUK P
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069906-A
成果简介	NOVELTY - The system uses K-means algorithm to cluster co-offenders, collaboration and dissolution of organized crime groups, for identifying various relevant crime patterns, hidden links, link prediction and statistical analysis of crime data, where k-means algorithm is used for crime prediction using a model trained for prediction using the training data set validated using the test dataset. The model is built using better algorithm depending upon the accuracy, where visualization of dataset is done to analyze the crimes. USE - System for crime rate prediction and analysis using k-means clustering algorithm. ADVANTAGE - The system prevents crimes from happening and using data mining and analysis to predict and address crime patterns effectively. The system allows law enforcement agencies to develop strategies and tactics to address crime and disorder efficiently. The system realizes an open-source implementation that police analysts can use to deploy more effective predictive policing, and helps the law enforcement agencies to predict and detect crimes with improved accuracy, thus reducing the crime rate.
IPC 分类号	G06F-016/2458 ; G06Q-010/10 ; G06Q-050/26 ; G08B-031/00 ; H04M-003/22
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19831
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	KALIYAMURTHIE K P,BHAVANA D,MOHAN V,et al. System for crime rate prediction and analysis using k-means clustering algorithm, uses K-means algorithm to cluster co- offenders, collaboration and dissolution of organized crime groups, for identifying relevant crime patterns, hidden links, link prediction and statistical analysis of crime data. IN202341069906-A[P]. 2023.

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