Abstract
Big data is a hot issue in both theoretical and practical circles. Although many scholars have analyzed the risk of internal control of venture capital information system from different angles, there is still a lack of research on the risk of internal control of venture capital system under big data environment. Aiming at the concept and characteristics of large data, this paper proposes the research of internal control system of venture capital information system based on large data processing technology. The risk prediction model based on improved quantum support vector machine is used to verify the accuracy of the model. This paper divides the risk critical control process one by one for the hardware, software, personnel, information and operation rules of the venture capital object; probes into the main risks of different control objects in the process of information system construction under the big data environment; and puts forward the corresponding risk management methods of system internal control. Simulation experiments verify the reliability of the model and algorithm.
Highlights
With the rapid development of modern science and technology, the amount of data has increased explosively
The processing center of software has changed from process control to data value mining, which has become an irresistible trend
The deviation between the maximum and minimum relative distances is 0.36, which is smaller than that of the BP neural network (BPNN) and multi-variable linear regression model (MLRM) models. It shows that the stability of the support vector machine (SVM) icing prediction model is higher than that of the BPNN and MLRM
Summary
The rapid popularization of the mobile Internet has brought a lot of new changes to society and made service providers accumulate a large number of individual user data. Big data is a kind of huge information data with high growth rate and various types It cannot be collected, managed, and analyzed by common software in a certain time scale [7, 8]. The decision-making level should analyze the information obtained from the data processing so as to forecast the market development direction and start the investment business according to the company’s investment ability. This will help the enterprises to optimize their business plans and make accurate decisions and to promote the development of enterprises
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