使用机器学习技术的犯罪分析和预测研究

P. Manasvi, P. Tejaswini
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引用次数: 1

摘要

最近,不法行为已经变成了对个人和社会的一种明显的危害。不法行为的增加正在造成社会的不平衡。要检查和回答不法行为的概念,关键是要了解不法行为是如何实施的。这是一种用来识别全球各地不法行为的不法行为。这项投资的主要目的是减少受影响最严重地区的不法行为。在这个任务中,我们预测各种各样的错误,最明显的月份,最明显的时间,以及事件的日期。一些人工智能计算,比如朴素贝叶斯(Naive Bayes),在这项工作中被描述为执行各种各样的错误行为,目前的正确率高于安排的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SURVEY ON CRIME ANALYSIS AND PREDICTION USING MACHINE LEARNING TECHNIQUES
As of late, wrongdoing has turned into a noticeable type of mischief to individuals and society. The ascent in wrongdoing is making imbalance in the society. To examine and answer to the idea of a wrongdoing, it is critical to see how the wrongdoing was perpetrated. It is a wrongdoing used to recognize wrongdoing in each side of the globe. The principal aim of this venture is to decrease wrongdoing in the most impacted regions. In this task, we anticipate the assortment of wrongdoings, the most apparent month, the most noticeable time, and the date of event. Some AI calculations, like Naive Bayes, were portrayed in this work to carry out various sorts of wrongdoing, and the current uprightness was higher than arranged.
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