Crime Analysis and Prediction Using Machine Learning Algorithms
2022 1st International Conference on Computational Science and Technology (ICCST)(2022)
摘要
Machine Learning Algorithms are used widely nowadays in the majority of the data analysis field. Various fields of data analytics are now depending on the most advanced Machine Learning concepts and Algorithms like; K-Means, Random Forests so on and so forth. When comparing the data analysis based on society, in this research, we offer a new method for predicting and analytically classifying crimes by making use of data mining algorithms, which are K-Nearest Neighbor, Logistic Regression and Support Vector Machine algorithms. Utilizing these three commonly nsed techniques we classified the data sets along with pre-processing and the results of prediction obtained are highly accurate and excel the current models.
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关键词
Support Vector Machine (SVM),Machine Learning (ML),K-Nearest Neighbor (KNN),Logistic Regression(LR,K-Means,Random Forest
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