scholarly journals RFID Anti-Collision Technology in Big Data Environment

2018 ◽  
Vol 14 (05) ◽  
pp. 42
Author(s):  
Buying Chen
Keyword(s):  
Big Data ◽  
Comparative Analysis ◽  
Rapid Development ◽  
Rfid Technology ◽  
Response Mechanism ◽  
Font Size ◽  
Throughput Rate ◽  
Data Environment ◽  
Information Conflict ◽  
Massive Information

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Along with the rapid development of Web of Things, the RFID technology is widely applied in every field, but today, the great challenge we face is how to avoid information conflict and collision in the process of acquisition and treatment of massive information. It is the keystone of the study. This paper conducts a comparative analysis on different Tree-based algorithms as improved, and integrated with multiple sub-cycle response mechanism, a Multi-Response Collision Tree algorithm is proposed. And beyond that, this paper simulates and analyzed this algorithm and other improved ones. The results reveal that, compared to other algorithms, MRCT algorithm features a better performance, less recognition cycles, least query time slots on average, and ceiling throughput rate.</span>

E-Commerce Security Research in Big Data Environment

2021 ◽  
pp. 1476-1490
Author(s):  
Mei Zhang ◽  
Huan Liu ◽  
Jinghua Wen
Keyword(s):  
Big Data ◽  
Electronic Commerce ◽  
Rapid Development ◽  
Security System ◽  
Information Storage ◽  
New Era ◽  
Security Research ◽  
Distributed Platform ◽  
Data Environment ◽  
Electronic Commerce Security

Rapid development of e-commerce and mobile communication opens a new era of big data. In this article, the authors put big data and e-commerce security together. They construct electronic commerce security system from these aspects: the creation of database, the security of information storage, the mining of information based on big data environment thoroughly. The second-generation product distributed platform- Apache Hadoop which is more popular and instant has been brought in. what's more, this article expounds the structure and working process. On the base of this platform, this article analyses the certainty and security of e-commerce transactions data developed on the condition of big data. It puts forward a construction view that people should guide and monitor the behavior of e-commerce, and improve the security system of electronic commerce on the base of data.

scholarly journals Analysis on Influencing Factors of College Students' Information Ability in Big Data Environment

2021 ◽  
Vol 2 (3) ◽  
pp. 36-42
Author(s):  
Xiaomei Hu ◽  
Yuan Yuan ◽  
Mengjie Wang
Keyword(s):  
College Students ◽  
Big Data ◽  
Information Society ◽  
Rapid Development ◽  
Current Situation ◽  
Actual Situation ◽  
Factors Affecting ◽  
Main Factors ◽  
Data Environment ◽  
Constituent Elements

Information ability is the basis and premise of college students' survival and career development, the condition of their lifelong learning, and the necessary ability of innovative talents. In order to adapt to the rapid development of the current information society, college students, as an important force of social construction, must cultivate good information ability. Firstly, this paper analyzes the position of college students' information ability in the ability structure. Secondly, it analyzes the constituent elements of college students' information ability in the big data environment. Thirdly, it analyzes the current situation of information ability training of economic and management college students under the big data environment. Finally, combined with the actual situation of Anhui University of Finance and Economics, through the questionnaire, this paper investigates and analyzes the current situation of economic and management college students' information ability, in order to explore the main factors affecting college students' information ability.

scholarly journals A Survey on Unsupervised K-Means Algorithm in Big Data Environment

2021 ◽  
pp. 1-8
Author(s):  
Fatama Sharf Al-deen ◽  
Fadl Mutaher Ba-Alwi
Keyword(s):  
Machine Learning ◽  
Information Technology ◽  
Big Data ◽  
Literature Review ◽  
Relational Databases ◽  
Rapid Development ◽  
Learning Technologies ◽  
Machine Learning Algorithms ◽  
Prominent Feature ◽  
Data Environment

Due to the rapid development in information technology, Big Data has become one of its prominent feature that had a great impact on other technologies dealing with data such as machine learning technologies. K-mean is one of the most important machine learning algorithms. The algorithm was first developed as a clustering technology dealing with relational databases. However, the advent of Big Data has highly effected its performance. Therefore, many researchers have proposed several approaches to improve K-mean accuracy in Big Data environment. In this paper, we introduce a literature review about different technologies proposed for k-mean algorithm development in Big Data. We demonstrate a comparison between them according to several criteria, including the proposed algorithm, the database used, Big Data tools, and k-mean applications. This paper helps researchers to see the most important challenges and trends of the k-mean algorithm in the Big Data environment.

E-Commerce Security Research in Big Data Environment

2018 ◽  
Vol 14 (1) ◽  
pp. 63-76 ◽  
Author(s):  
Mei Zhang ◽  
Huan Liu ◽  
Jinghua Wen
Keyword(s):  
Big Data ◽  
Electronic Commerce ◽  
Rapid Development ◽  
Security System ◽  
Information Storage ◽  
New Era ◽  
Security Research ◽  
Distributed Platform ◽  
Data Environment ◽  
Electronic Commerce Security

Rapid development of e-commerce and mobile communication opens a new era of big data. In this article, the authors put big data and e-commerce security together. They construct electronic commerce security system from these aspects: the creation of database, the security of information storage, the mining of information based on big data environment thoroughly. The second-generation product distributed platform- Apache Hadoop which is more popular and instant has been brought in. what's more, this article expounds the structure and working process. On the base of this platform, this article analyses the certainty and security of e-commerce transactions data developed on the condition of big data. It puts forward a construction view that people should guide and monitor the behavior of e-commerce, and improve the security system of electronic commerce on the base of data.

E-Commerce Security Research in Big Data Environment

2021 ◽  
pp. 1100-1114
Author(s):  
Mei Zhang ◽  
Huan Liu ◽  
Jinghua Wen
Keyword(s):  
Big Data ◽  
Electronic Commerce ◽  
Rapid Development ◽  
Security System ◽  
Information Storage ◽  
New Era ◽  
Security Research ◽  
Distributed Platform ◽  
Data Environment ◽  
Electronic Commerce Security

Rapid development of e-commerce and mobile communication opens a new era of big data. In this article, the authors put big data and e-commerce security together. They construct electronic commerce security system from these aspects: the creation of database, the security of information storage, the mining of information based on big data environment thoroughly. The second-generation product distributed platform- Apache Hadoop which is more popular and instant has been brought in. what's more, this article expounds the structure and working process. On the base of this platform, this article analyses the certainty and security of e-commerce transactions data developed on the condition of big data. It puts forward a construction view that people should guide and monitor the behavior of e-commerce, and improve the security system of electronic commerce on the base of data.

scholarly journals Research on the Influence of Big Data on Higher Education Based on Feasibility

2020 ◽  
Vol 9 (3) ◽  
pp. 78
Author(s):  
Xueyan Li
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Rapid Development ◽  
Management Model ◽  
Scientific Management ◽  
Human Society ◽  
Huge Impact ◽  
The Impact ◽  
Data Culture ◽  
Massive Information

<p>With the rapid development, human society has entered the era of big data, which has a huge impact on higher education. With the rapid development of information technology in China, higher education has increased the variety and quantity, which speeds up the interaction between information and data. Based on massive information data, big data promotes the development of the world, which has changed the traditional higher education. With the combination of big data and higher education, universities can better promote the governance transformation of higher education. Based on the feasibility of big data, this paper analyzes the impact of big data on higher education. Through big data, colleges can carry out diversified education, which will change the main ideological mode and governance mode of traditional higher education. By strengthening big data literacy, China's higher education can strengthen the construction of data culture, which will build a scientific management model.</p>

Collaborative Filtering Algorithm for Recommendation System of Improvement Based on Big Data Environment

2015 ◽  
Vol 736 ◽  
pp. 189-195 ◽  
Author(s):  
Shi Jin Li ◽  
Wa Te He ◽  
Xi Bing Wang ◽  
Ting Shi
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Recommendation System ◽  
Rapid Development ◽  
User Interaction ◽  
Big Data Processing ◽  
Information Platform ◽  
Collaborative Filtering Algorithm ◽  
Data Environment ◽  
Search History

With the rapid development of Internet and information technology, the exponential growth of information has attracted a lot of concern thesedays. Big data processing is particularly important. Recommendation system appears a good solution inadequacies of search engines, it is in addition based on keywords entered by the user to obtain information, but also with the user's social circle, as well as search history records, for users personalized recommendations services, and to establish a long and constant user interaction relations, not only improve customer loyalty, but also for the producers to create a good and reliable information platform for big data processing to achieve a win-win.

Big Data Environment and Humanities Platform

2017 ◽  
Vol 39 (5) ◽  
pp. 177-202
Author(s):  
Hyun-Cheol Choi
Keyword(s):  
Big Data ◽  
Data Environment
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