Research on financial network big data processing technology based on fireworks algorithm

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.

[1]  Boris Bauke,et al.  An Empirical Test of the Relational View in the Context of Corporate Venture Capital , 2016 .

[2]  Syed Hamid Hussain Madni,et al.  An Appraisal of Meta-Heuristic Resource Allocation Techniques for IaaS Cloud , 2016 .

[3]  Jennifer M. Walske,et al.  Ingredients Matter: How the Human Capital of Philanthropic and Traditional Venture Capital Differs , 2015, Journal of Business Ethics.

[4]  Noam Wasserman,et al.  Revisiting the Strategy, Structure, and Performance Paradigm: The Case of Venture Capital , 2008, Organ. Sci..

[5]  J. Wincent,et al.  Corporate venture capital: The role of governance factors , 2016 .

[6]  Arvin Sahaym,et al.  Mixed Blessings: How Top Management Team Heterogeneity and Governance Structure Influence the Use of Corporate Venture Capital by Post-IPO Firms , 2015 .

[7]  A. Salter,et al.  Evolutionary analysis of innovation and entrepreneurship: Sidney G. Winter—recipient of the 2015 Global Award for Entrepreneurship Research , 2016 .

[9]  A. Khurshed,et al.  Cross-border venture capital investments: The impact of foreignness on returns , 2017, Journal of International Business Studies.

[10]  Eva Niesten,et al.  The impact of venture capital on governance decisions in collaborations with start-ups , 2016 .

[11]  T. Minola,et al.  Screening model for the support of governmental venture capital , 2017 .

[12]  Jina Kang,et al.  The double-edged effects of the corporate venture capital unit's structural autonomy on corporate investors' explorative and exploitative innovation , 2018 .

[13]  Michael Pirson,et al.  Formation of Stakeholder Trust in Business and the Role of Personal Values , 2013 .

[14]  Massimo G. Colombo,et al.  Governmental venture capital for innovative young firms , 2016 .

[15]  Arvin Sahaym,et al.  Exploring the innovation strategies of young firms: Corporate venture capital and venture capital impact on alliance innovation strategy , 2017 .