求翻译,证券与数据挖掘方面的,很小一段话,要通顺!!!急!!!!

本文从证券市场的现状出发,指出我国的证券市场仍存在很多不足,需要数据挖掘技术的介入。第一章主要讲述了数据挖掘的定义,过程等概念性理论知识,以及数据挖掘在证券市场中的应用范围。第二章从聚类分析在证券市场中的应用现状说起,主要介绍聚类分析的定义和方法,然后简单介绍了系统聚类分析方法。第三章以实例出发,说明聚类分析方法在证券市场中应用的有效性。随机选取40家在沪深上市的河南省的公司企业,为了帮助投资者在众多的股票中找到低风险的同时具有高收益的特性的股票,同时对于股票价格的走势有一个大致的了解,选择每股收益,每股净资产,主营收入增长率,主营利润增长率和净资产收益率5项指标评价体系,通过系统聚类分析方法对这40家公司企业的股票进行聚类分析,以此对股票的收益性,成长性等方面进行分析。
2026年09月23日 05:38
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人工翻译,请费心审阅
Starting from the status of the stock market, this paper points out that there are still many deficiencies in China's stock market, and it is necessary to introduce data mining technique. The chapter 1 focuses on the conceptual theoretical knowledge of data mining process, including the definition and process of data mining technique, as well as the application scope of data mining in stock market. The chapter 2 starts from the application status of cluster analysis in stock market, mainly introduces the definitions and methods of cluster analysis, and then briefly introduces the hierarchical cluster analysis method. Chapter 3 starts from practical examples to illustrate the effectiveness of cluster analysis used in the stock market. Some 40 companies of Henan Province listed in Shanghai and Shenzhen stock market are randomly chosen to help investors find some stocks with characteristics of both low-risk and high-yield, while get a general understanding of the stock price trends. Five indexes, including earnings per share, net assets per share, the main revenue growth, profit growth and the main ROE, are used as the evaluation system, and the stocks of these 40 companies are cluster analyzed using the hierarchical cluster analysis method, so as to analyze the gain, growth and other aspects of these stocks.