Research Hotspots and Trends Visualization Analysis of Chinese E-commerce Big Data

At present, it has become a hot research field to improve production efficiency and improve life experience through big data analysis. In the process of big data analysis, how to vividly display the results of the analysis is crucial. So, this paper introduces a set of big data visualization analysis platform based on financial field. The platform adopts the MVC system architecture, which is mainly composed of two parts: the background and the front end. The background part is built on the Django framework, and the front end is built with html5, css3, and JavaScript. The chart is rendered by Echarts. The platform can realize the classification of customers' savings potential through bank data, and make portraits of customers with different savings levels. The data analysis results can be dynamically displayed and interact wit

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Visualizing the Research Hotspots and Emerging Trends in Neural Tube Defects: A Review

Iranian Journal of Public Health ◽

10.18502/ijph.v49i3.3122 ◽

2020 ◽

Author(s):

Baohong MAO ◽

Chichen ZHANG ◽

Liping YANG ◽

Yanxia WANG ◽

Chunhui SU ◽

...

Keyword(s):

Birth Defects ◽

Neural Tube ◽

Neural Tube Defects ◽

Visualization Analysis ◽

Emerging Trends ◽

Bibliographic Records ◽

Tremendous Progress ◽

Number Of Publications ◽

Research Domain ◽

Research Hotspots

Background: Neural tube defects (NTDs) are among the second most common serious birth defects and constitute a major cause of infant death. Research about NTDs has achieved tremendous progress over the last 50 years. Methods: Visualization analysis has been used to explore the hot topic and their emerging trends in NTDs research domain. The scientific literature of research for NTDs has been retrieved from Web of Science™ Core Collection (1966–2014) databases, and final acquire 9125 related bibliographic records, then analyze time trend, distribution of journals, hot keywords, and try to explore the hot topic and their emerging trends in NTDs research domain using Histcite and CiteSpace. Results: The number of publications about NTDs have shown an increased tendency over the last 50 years although there was on a slight decline. Birth Defects Research Part A published the most articles on NTDs research, followed by Lance and Teratology, and the Lancet had the greatest number of total citations. The largest cited frequency keywords was the “Folate”, followed by “Pregnancy”, “Prevention”, and “Spina bifida”. The research hotspots in NTDs research were homocysteine, anencephaly, and screening. Conclusion: With the help of visualization analysis, we explore a quantitative and efficient way of understanding the NTDs knowledge field. Keywords: Visualization analysis; Neural tube defects; Scientometrics; CiteSpace

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Research Hotspots and Evolution of Fusion of Blockchain and Supply Chain in China Based on Visualization Analysis

E3S Web of Conferences ◽

10.1051/e3sconf/202129002032 ◽

2021 ◽

Vol 290 ◽

pp. 02032

Author(s):

Xuedong Liang ◽

Jinghong Sun

Keyword(s):

Supply Chain ◽

Technology Development ◽

Research Direction ◽

Research Area ◽

Law School ◽

Theoretical Development ◽

Future Research ◽

Visualization Analysis ◽

The Past ◽

Research Hotspots

Based on 837 literatures of CNKI from 2015 to 2020, this paper conducts visualization analysis about domestic fusion of blockchain and supply chain with the utilization of Citespace, and reveal the research hotspots in the field of fusion of blockchain and supply chain in the past five years. The study finds that, firstly, China Finance, Southwest Finance, and Business & Economy are the journals with higher quantity of publication in this field; secondly, Song Hua and Xu Peng are the leading scholars in this research area; thirdly, the research institutions in this field are mainly concentrated in the School of Economics and Management, Law School and School of Information Management in major universities; fourthly, application scenarios, technology development, applied agent and fund are the research hotspots in this area. This study reveals the basic dynamics of domestic fusion of blockchain and supply chain research in the past five years, which not only can promote the theoretical development of this field, but also point out the research hotspots and future research direction for scholars in this area, and provide reference and reference for all walks of life who plans to enter this field.

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A Paged Prefetching Model for Join Operations of Cross-Databases

Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University ◽

10.1051/jnwpu/20203861225 ◽

2020 ◽

Vol 38 (6) ◽

pp. 1225-1234

Author(s):

Changqing Li ◽

Jianhua Gu

Keyword(s):

Big Data ◽

Query Language ◽

Research Result ◽

Management Systems ◽

Prototype System ◽

Large Delay ◽

Basic Composition ◽

Operation Mechanism ◽

Nosql Database ◽

Research Hotspots

As the applications of big data are increasing, the NoSQL (Not only Structured Query Language) database management systems have been developed rapidly. How to integrate NoSQL database and relational database effectively has become one of the research hotspots. In the existing research results, the paged query method used for join operations of these heterogeneous multi-databases can produce a large delay. In view of this deficiency, this paper presents a paged prefetching model, and focuses on its basic composition, prefetching mode and operation mechanism. A prototype system is designed and developed. The effect of this model is verified, and the expected targets are achieved. Compared with the non-prefetched paging query method, the outstanding contribution of this research result is that it can reduce the delay of paging query and thus improve the efficiency of the join operations of cross-databases.

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