"数据挖掘技术中的决策树算法应用及比较分析"
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Abstract: With the rapid development of Information Technology, people are facing much more work load in dealing with the accumulated mass data. Data mining technology is also called the knowledge discovery in databases, which is a process of extracting effective, implicit, previously unknown, and potentially valuable information from large-scale database data. Decision tree algorithm is an important classification method in data mining, and various algorithms based on decision trees have their own advantages in terms of execution speed, scalability, interpretability of output results, and accuracy of classification prediction. They have been widely used in various fields and many mature systems have been developed, such as speech recognition, pattern recognition, and expert systems. This paper focuses on the study and comparison of several typical decision tree algorithms, and provides examples of their applications. Keywords: Data mining; Decision tree; Comparison
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