英语翻译随着信息化的快速发展,人们对于数据质量的要求越来越高,数据清洗技术越来越成为人们关注和研究的焦点.如何从海量的股市资讯中快速、准确地挖掘出有用信息,是一个富有开发潜

Question

英语翻译
随着信息化的快速发展,人们对于数据质量的要求越来越高,数据清洗技术越来越成为人们关注和研究的焦点.
如何从海量的股市资讯中快速、准确地挖掘出有用信息,是一个富有开发潜力的文本挖掘研究方向.目前的文本挖掘技术还难以快速、准确地识别信息中的错误或者不相关的“脏数据”.
一般而言,低位买入同系机构投资者持股占流通股比例较高（且远大于其他十大流通股东占流通股的比例）的股票,是一种较易获得高收益的投资行为,故本文以在股市资讯中挖掘“十大流通股东同系机构投资者占流通股的比例”这一具有现实意义的问题为具体研究对象,来研究如何利用数据清洗技术来解决这些“脏数据”问题.
本文结合在股市资讯中挖掘“十大流通股东同系机构投资者占流通股的比例”的应用实际,介绍了在股市资讯挖掘系统中数据清洗问题的研究背景,以及文本挖掘、数据清洗技术的国内外研究概况；概述了异常数据清洗相关知识,研究如何应用统计分析技术和人工智能方法来检测及清洗股市资讯挖掘系统中异常数据；进而在介绍重复记录清洗的意义、定义及基本流程的基础上,结合股市资讯挖掘的应用实际,分析研究了重复记录清洗流程中所涉及的算法,并提出了相关改进；最后从系统应用背景、源数据存在的问题,系统框架结构、实验过程与结果、系统评价与创新之处等方面介绍了以挖掘“十大流通股东同系机构投资者占流通股的比例”为主要功能的股市资讯挖掘系统.

Answer 1

With the fast development of information technology, the data quality reqest is increasingly higher, data cleaning technique has increasingly become a focus of concern and research.
How from the mass market information fast, accurately mine the useful information, is a rich potential for development of text mining research direction. The present text mining technology is also difficult to fast, accurately identify the information in the error or not related to the " dirty data ".
In general, buy low homologous institutional investors holding shares of a higher proportion of ( and far greater than that of the other ten shareholders shares ratio) stock, is a relatively easy to obtain high yield investment behavior in the stock market information, so this thesis dig " ten big circulation stock East fellow investors shares the proportion of " the problem that has the realistic meaning for the specific object of study, to study how to use the data cleaning technique to solve the problem of "dirty data".
According to market information in mining "the ten shareholders of syngeneic institutional investors shares proportion" of the practical application, introduced in the stock market information mining system in data cleaning problems of the research background, text mining, data cleaning technique of the domestic and foreign research general situation; an overview of data cleaning related knowledge, to study how to application of statistical analysis and artificial intelligence technology to detect and cleaning market information mining system in abnormal data; and then in the duplicate records cleansing meaning, definition and basic flow on the basis of stock market information, combined with the mining practice, analysis of the duplicate records cleansing process involved in the algorithm, and put forward relevant improvement; finally from the system application background, source data problems, system framework, the experimental process and results, evaluation system and innovation etc have been introduced to dig "the ten largest shareholder in circulation from institutional investors shares ratio " as the main function of the stock market information mining system.