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Data Mining Tools as Counter-terrorism

机译:数据挖掘工具作为反恐工具

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摘要

Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. These tools can include statistical models, mathematical algorithms, and machine learning methods (algorithms that improve their performance automatically through experience, such as neural networks or decision trees). Consequently, data mining consists of more than collecting and managing data, it also includes analysis and prediction. In this Paper, we are going to discuss various data mining tools for counter-terrorism and challenges faced by data mining tools.
机译:数据挖掘涉及使用复杂的数据分析工具来发现大型数据集中以前未知,有效的模式和关系。这些工具可以包括统计模型,数学算法和机器学习方法(通过经验自动提高其性能的算法,例如神经网络或决策树)。因此,数据挖掘不仅包括收集和管理数据,还包括分析和预测。在本文中,我们将讨论各种用于反恐的数据挖掘工具以及数据挖掘工具所面临的挑战。

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