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

被引:2
作者
Luo, Tao [1 ]
机构
[1] Xihua Univ, Sch Econ, Chengdu 610039, Sichuan, Peoples R China
关键词
Big data; Risk venture; Predict model; Control model; Support vector;
D O I
10.1186/s13638-019-1443-z
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 13 条
[1]   Corporate venture capital: The role of governance factors [J].
Anokhin, Sergey ;
Peck, Simon ;
Wincent, Joakim .
JOURNAL OF BUSINESS RESEARCH, 2016, 69 (11) :4744-4749
[2]  
Bock C, 2017, J TECHNOL TRANSFER, V2017, P1
[3]  
Buchner A., 2018, J INT BUS STUD, V11, P1
[4]   Governmental venture capital for innovative young firms [J].
Colombo, Massimo G. ;
Cumming, Douglas J. ;
Vismara, Silvio .
JOURNAL OF TECHNOLOGY TRANSFER, 2016, 41 (01) :10-24
[5]  
Galloway T. L., 2016, J BUS RES, P71
[6]  
Jolink A, 2016, SMALL BUS ECON, V47, P1
[7]   The double-edged effects of the corporate venture capital unit's structural autonomy on corporate investors' explorative and exploitative innovation [J].
Lee, Simon U. ;
Park, Gunno ;
Kang, Jina .
JOURNAL OF BUSINESS RESEARCH, 2018, 88 :141-149
[8]  
Madni S., 2016, INDIAN J SCI TECHNOL, V9
[9]  
Minola T, 2016, J TECHNOL TRANSFER, V1, P1
[10]   Mixed blessings: How top management team heterogeneity and governance structure influence the use of corporate venture capital by post-IPO firms [J].
Sahaym, Arvin ;
Cho, Sam Yul ;
Kim, Sang Kyun ;
Mousa, Fariss-Terry .
JOURNAL OF BUSINESS RESEARCH, 2016, 69 (03) :1208-1218