Open Access
ARTICLE
Jiajun Xie1, Zuyan Li1, Han Wu1, Linhan Li2, Bin Pan1, Peng Guo3,Guang Sun1,*
Journal on Big Data, Vol.3, No.4, pp. 135-145, 2021, DOI:10.32604/jbd.2021.017017
Abstract With the development and progress of today’s network information
technology, a variety of large-scale network databases have emerged with the
situation, such as Baidu Library and Weipu Database, the number of documents
in the inventory has reached nearly one million. So how do you quickly and
effectively retrieve the information you want in such a huge database? This
requires finding efficient algorithms to reduce the computational complexity of
the computer during Information Retrieval, improve retrieval efficiency, and
adapt to the rapid expansion of document data. The Quicksort Algorithm gives
different weights to each position of the document, and multiplies the… More >
Open Access
ARTICLE
Weiwei Lin1,2,*, Reiko Haga3
Journal on Big Data, Vol.3, No.4, pp. 147-153, 2021, DOI:10.32604/jbd.2021.017299
Abstract In this paper, a cybersecurity threat warning model based on ant colony
algorithm is designed to strengthen the accuracy of the cybersecurity threat
warning model in the warning process and optimize its algorithm structure.
Through the ant colony algorithm structure, the local global optimal solution is
obtained; and the cybersecurity threat warning index system is established. Next,
the above two steps are integrated to build the cybersecurity threat warning model
based on ant colony algorithm, and comparative experiment is also designed. The
experimental results show that, compared with the traditional qualitative
differential game-based cybersecurity threat warning model, the cybersecurity
threat… More >
Open Access
ARTICLE
Imen Hamraoui*, Adel Boubaker
Journal on Big Data, Vol.3, No.4, pp. 155-173, 2021, DOI:10.32604/jbd.2021.018703
Abstract Finance 3.0 is still in its infancy. Yet big data represents an
unprecedented opportunity for finance. The massive increase in the volume of
data generated by individuals every day on the Internet offers researchers the
opportunity to approach the question of financial market predictability from a
new perspective. In this article, we study the relationship between a well-known
Twitter micro-blogging platform and the Tunisian financial market. In particular,
we consider, over a 12-month period, Twitter volume and sentiment across the
22 stock companies that make up the Tunindex index. We find a relatively weak
Pearson correlation and Granger causality between… More >
Open Access
ARTICLE
Hanbo Liu*, Guang Sun
Journal on Big Data, Vol.3, No.4, pp. 175-182, 2021, DOI:10.32604/jbd.2021.024074
Abstract With the advent of the era of big data, traditional financial
management has been unable to meet the needs of modern enterprise business.
Enterprises hope that financial management has the function of improving the
accuracy of corporate financial data, assisting corporate management to make
decisions that are more in line with the actual development of the company, and
optimizing corporate management systems, thereby comprehensively improving
the overall level of the company and ensuring that the company can be in
business with the assistance of financial integration, can better improve and
develop themselves. Based on the investigation of enterprises and universities,… More >
Open Access
ARTICLE
Jianqiao Sheng1, Mengzhu Xu2, Jin Han3,*, Xingyan Deng2
Journal on Big Data, Vol.3, No.4, pp. 183-190, 2021, DOI:10.32604/jbd.2021.024892
Abstract Lightning disaster risk assessment, as an intuitive method to reflect the
risk of regional lightning disasters, has aroused the research interest of many
researchers. Nowadays, there are many schemes for lightning disaster risk
assessment, but there are also some shortcomings, such as the resolution of the
assessment is not clear enough, the accuracy rate cannot be verified, and the weight
distribution has a strong subjective trend. This paper is guided by lightning disaster
data and combines lightning data, population data and GDP data. Through support
vector machine (SVM), it explores a way to combine artificial intelligence
algorithms with lightning disaster… More >
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