数据挖掘分类模型原理与实例分析

大数据时代下,如何利用数据变成一个热门的话题。随着信息技术的发展,各种数学计算机模型不断产生,数据挖掘模型是当今热门的模型之一。数据挖掘模型通过建立算法,通过计算机计算分析,搜索数据中的隐含信息和规律,从而帮助决策。本文通过探索数据挖掘中的分类模型ID3和C4.5,学习比较算法的原理,并进一步通过天气数据的实例计算分析,加深对数据挖掘模型对于实际数据处理的作用的理解。

Principle of Data Mining Classification Model and Example Analysis

In the era of big data, how to use data has become a hot topic. With the development of information technology, a variety of mathematical computer models have been produced. Data mining model is one of the popular models nowadays. Data mining model helps decision-making by establishing algorithms and computer calculation and analysis to search for hidden information and rules in data. This paper explores the classification model ID3 and C4.5 in data mining, learning the principle of comparison algorithm, and further through the calculation and analysis of weather data examples to deepen the understanding of the role of data mining model in actual data processing.