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Web Crime Mining by Means of Data Mining Techniques

机译:利用数据挖掘技术进行网络犯罪挖掘

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摘要

The purpose of this study is to provide a review to mining useful information by means of Data Mining. The procedure of extracting knowledge and information from large set of data is data mining that applying artificial intelligence method to find unseen relationships of data. There is more study on data mining applications that attracted more researcher attention and one of the crucial field is criminology that applying in data mining which is utilized for identifying crime characteristics. Detecting and exploring crimes and investigating their relationship with criminals are involved in the analyzing crime process. Criminology is a suitable field for using data mining techniques that shows the high volume and the complexity of relationships between crime datasets. Therefore, for further analysis development, the identifying crime characteristic will be the first step and obtained knowledge from data mining approaches is a very useful tool to help and support police forces. This research aims to provide a review to extract useful information by means of Data Mining, in order to find crime hot spots out and predict crime trends for them using crime data mining techniques.
机译:这项研究的目的是对通过数据挖掘来挖掘有用信息进行回顾。从大量数据中提取知识和信息的过程是数据挖掘,它应用人工智能方法来查找数据之间看不见的关系。越来越多的数据挖掘应用研究引起了研究者的关注,犯罪学的关键领域之一就是犯罪学在数据挖掘中的应用,用于识别犯罪特征。分析犯罪过程涉及侦查和探索犯罪并调查其与罪犯的关系。犯罪学是使用数据挖掘技术的合适领域,该技术显示出犯罪数据集之间的大量关系和复杂性。因此,对于进一步的分析开发而言,识别犯罪特征将是第一步,并且从数据挖掘方法中获得的知识是帮助和支持警察部队的非常有用的工具。这项研究旨在提供综述,以通过数据挖掘来提取有用的信息,以便找出犯罪热点并使用犯罪数据挖掘技术为他们预测犯罪趋势。

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