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Web Crime Mining by Means of Data Mining Techniques

机译:通过数据挖掘技术进行网络犯罪挖掘

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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:本研究的目的是通过数据挖掘提供对利用有用信息的审查。从大集数据中提取知识和信息的程序是应用人工智能方法来查找不间断的数据关系的数据挖掘。有更多关于吸引更多研究员注意的数据挖掘应用的研究,其中一个关键领域是跨境的犯罪学,该数据采矿用于识别犯罪特征。检测和探索犯罪并调查与犯罪分子的关系参与分析犯罪过程。犯罪学是一种适用于使用数据挖掘技术的合适字段,该技术显示了犯罪数据集之间的高卷和关系的复杂性。因此,为了进一步分析发展,识别犯罪特征将是第一步,从数据挖掘方法获得知识是一个非常有用的帮助和支持警察部队的工具。本研究旨在通过数据挖掘提供审查以提取有用的信息,以便使用犯罪数据采矿技术找到犯罪热点并预测它们的犯罪趋势。

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