scholarly journals Research on Poverty Alleviation in China Based on Big Data in the Context of COVID-19

CONVERTER ◽  
2021 ◽  
pp. 270-281
Author(s):  
Chenguang Zhang, Guifa Teng
Keyword(s):  
Big Data ◽  
Poverty Alleviation ◽  
Evaluation Method ◽  
Indicator System ◽  
Recommendation Algorithm ◽  
Performance Evaluation Method ◽  
Calculation Ability ◽  
The Impact ◽  
Full Volume ◽  
Big Data Technology

Objectives: In order to alleviate the impact of COVID-19 on China's poverty alleviation work, this paper proposesa performance evaluation method and a recommendation algorithm for poverty indicator system suitable forChina's national conditions based on big data technology. Methods: The evaluation method combines the preciseadvantages of Bayesian classifier and the full-volume processing characteristics of big data to comprehensivelyevaluate the past poverty alleviation achievements. The recommendation algorithm takes the poverty alleviationdata over the years as the research object and realizes the construction method of the indicator system in therelative poverty stage. Results: The comparison with Pearson's correlation coefficient shows that the newevaluation method has more accurate confidence calculation ability. And compared with the classic ALSrecommendation algorithm, the new recommendation algorithm has a more scientific and reasonablerecommendation effect. Conclusions: Finally, the paper proposes relevant suggestions for the next stage of policyformulation, proves that medical and health conditions play an important role in supporting poverty alleviation.

scholarly journals Research on XBRL Continuous Internal Audit under the Big Data

2021 ◽  
Vol 2050 (1) ◽  
pp. 012016
Author(s):  
Yong Wen
Keyword(s):  
Big Data ◽  
Relevant Literature ◽  
Digital Technologies ◽  
Internal Audit ◽  
Internal Auditing ◽  
Audit Process ◽  
New Models ◽  
Important Means ◽  
The Impact ◽  
Big Data Technology

Abstract The development of digital industrialization has promoted the continuous emergence of new industries, new formats and new models, and has also promoted the transformation of the traditional internal audit model to digital and intelligent. Big data, cloud computing, XBRL, artificial intelligence and other digital technologies are important means to achieve full audit coverage, big data audit has become a hot topic in the current audit field, relevant literature mainly focuses on the impact of big data on traditional audit concepts and audit methods, the impact and risks of big data technology on informatization audits, and how the auditing community responds. However, the research on the integration of big data technology and XBRL technology into continuous internal auditing is relatively rare. Based on the introduction of three XBRL continuous internal audit models, this article analyzes the continuous internal audit process of the XBRL information system, and discusses the application of big data technology in XBRL continuous internal audit.

Big Data and Visuality

2017 ◽  
Author(s):  
Janet Chan
Keyword(s):  
Big Data ◽  
Criminal Justice ◽  
Data Storage ◽  
Data Visualization ◽  
Crime Control ◽  
Big Data Analytics ◽  
Emotional Impact ◽  
Predictive Tool ◽  
The Impact ◽  
Big Data Technology

Internet and telecommunications, ubiquitous sensing devices, and advances in data storage and analytic capacities have heralded the age of Big Data, where the volume, velocity, and variety of data not only promise new opportunities for the harvesting of information, but also threaten to overload existing resources for making sense of this information. The use of Big Data technology for criminal justice and crime control is a relatively new development. Big Data technology has overlapped with criminology in two main areas: (a) Big Data is used as a type of data in criminological research, and (b) Big Data analytics is employed as a predictive tool to guide criminal justice decisions and strategies. Much of the debate about Big Data in criminology is concerned with legitimacy, including privacy, accountability, transparency, and fairness. Big Data is often made accessible through data visualization. Big Data visualization is a performance that simultaneously masks the power of commercial and governmental surveillance and renders information political. The production of visuality operates in an economy of attention. In crime control enterprises, future uncertainties can be masked by affective triggers that create an atmosphere of risk and suspicion. There have also been efforts to mobilize data to expose harms and injustices and garner support for resistance. While Big Data and visuality can perform affective modulation in the race for attention, the impact of data visualization is not always predictable. By removing the visibility of real people or events and by aestheticizing representations of tragedies, data visualization may achieve further distancing and deadening of conscience in situations where graphic photographic images might at least garner initial emotional impact.

An Overview of Cloud Computing and Deployment of Big Data Analytics in the Cloud

2014 ◽  
pp. 209-215
Author(s):  
Pushpa Mannava
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analytics ◽  
Evaluation Method ◽  
Big Data Analytics ◽  
Modern Technology ◽  
Data Evaluation ◽  
Storage Space ◽  
Big Data Technology

Big Data is a data evaluation method makes it possible for by recent breakthroughs in details and interactions modern technology. However, big data evaluation requires a massive quantity of calculating resources making fostering costs of big data technology is not inexpensive for lots of small to tool business. In this paper, we detail the benefits as well as obstacles associated with deploying big data analytics through cloud computing. We suggest that cloud computer can support the storage space as well as computing requirements of big data analytics. This paper provides a detailed overview of cloud computing and deployment of big data analytics in the cloud.

scholarly journals SMART POVERTY ALLEVIATION ARCHITECTURE BASED ON GEOMATICS BIG DATA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 45-48
Author(s):  
S. Wu ◽  
R. C. Qu ◽  
C. L. Pan ◽  
Z. Y. Bao ◽  
X. J. Feng
Keyword(s):  
Big Data ◽  
Correlation Analysis ◽  
Poverty Alleviation ◽  
Rapid Development ◽  
Singular Value ◽  
Digital City ◽  
Recommendation Algorithm ◽  
Access Methods ◽  
Value Decomposition ◽  
The Relationship

Abstract. With the rapid development of geomatics industry, it has accumulated a large amount of data such as digital city and national geoinformation survey, entered the geomatics big data era. At present, there are some researches on the collection and display of poverty alleviation based on geomatics. However, there are relatively few studies on smart poverty alleviation. Many problems need to be solved. It proposes a smart poverty alleviation architecture based on large geomatics data.It realizes the collection and monitor of smart poverty alleviation in administrative regions at all Levels, such as household, village, Township and county.It realizes the visualization of smart poverty alleviation with geomatics big data.It can poverty alleviation recommendation precisely.Aiming at this model,it proposes a precise poverty alleviation recommendation algorithm based on multi-dimensional correlation analysis. It uses Higher Order Singular Value Decomposition (HOSVD) algorithm to mine the relationship between geomatics and poverty alleviation, and recommends poverty alleviation policies. The research has certain practice and test. The architecture can effectively recommend poverty alleviation assistance policies, improve the efficiency of poverty alleviation archives collation, shorten the period of poverty alleviation archives collation, and improve the storage and access methods of poverty alleviation archives. It improves the efficiency of poverty alleviation collection, monitoring and assistance.

scholarly journals Analysis on the influence of big data era on enterprise financial accounting -- a case study of HUA WEI technologies co., LTD

2020 ◽  
Vol 214 ◽  
pp. 01004
Author(s):  
Wang Yang
Keyword(s):  
Big Data ◽  
Financial Accounting ◽  
Work Flow ◽  
Electronic Document ◽  
Application Process ◽  
Financial Decision Making ◽  
Financial Decision ◽  
The Impact ◽  
Big Data Technology

”Big data” is the product of the integration of the highly developed Internet innovation function and various economic fields in today’s society. The development of “big data” is bound to bring significant changes in the economic development of today’s society. Taking HUA WEI technologies co., LTD., financial aspects based on the development of big data, found big data technology in the application process of the impact of the financial accounting, this era of big data work flow for the company in China, the impact of financial decision-making and financial personnel, and the company response to this phenomenon and make a change, and to analyze its causes and solutions. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.

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