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Research on financial data analysis based on data mining algorithm
Author(s) -
Yu Wei,
Li Shijun
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4780
Subject(s) - data mining , computer science , the internet , cluster analysis , process (computing) , interpolation (computer graphics) , time series , simple (philosophy) , algorithm , machine learning , artificial intelligence , motion (physics) , philosophy , epistemology , world wide web , operating system
Summary At present, computer technology and Internet technology have been deeply integrated with the development of the Internet. This paper constructs a financial time series analysis and prediction model under the background of Internet e‐commerce development. As IT technology, data mining 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 on this, this paper deeply studies the data repair technology and interpolation technology such as EM algorithm for the actual more missing data, and the result is very satisfactory. Finally, this paper further studies the forward search algorithm, which is based on clustering to pretreat can complete the calculation process in a shorter time, reduce the possibility of errors, and improve efficiency.