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Research on financial data analysis based on data mining algorithm

机译:基于数据挖掘算法的财务数据分析研究

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At present, computer technology and Internet technology have been deeply integrated with thedevelopment of the Internet. This paper constructs a financial time series analysis and predictionmodel under the background of Internet e-commerce development. As IT technology, datamining must be simple and fast. Therefore, starting from the model and based on the algorithm,this paper establishes a feasible serial data mining technology and theoretical system. Based onthis, this paper deeply studies the data repair technology and interpolation technology such asEM algorithm for the actual more missing data, and the result is very satisfactory. Finally, thispaper further studies the forward search algorithm, which is based on clustering to pretreat cancomplete the calculation process in a shorter time, reduce the possibility of errors, and improveefficiency.
机译:当前,计算机技术和互联网技术已经与互联网的发展深度融合。本文构建了互联网电子商务发展背景下的金融时间序列分析与预测模型。作为IT技术,数据挖掘必须简单,快速。因此,从模型出发,基于算法,​​建立了可行的串行数据挖掘技术和理论体系。在此基础上,针对实际遗漏的数据进行了深入的研究,研究了数据修复技术和EM算法等插值技术,取得了令人满意的结果。最后,本文进一步研究了基于聚类进行预处理的正向搜索算法,可以在更短的时间内完成计算过程,减少出错的可能性,提高效率。

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