scholarly journals Analysis method of big data based on K-means algorithm

2021 ◽  
Vol 1939 (1) ◽  
pp. 012083
Author(s):  
Yichi Zhang ◽  
Tao Shu ◽  
Pengxiang Zhang ◽  
Yan Xu
Keyword(s):  
Big Data ◽  
Analysis Method

A Big-data Study of YouTube Comments to Classify Customer Journey Decisions - Proposing a New Exploratory Analysis Method -

2019 ◽  
Vol 16 ◽  
pp. 57-89
Author(s):  
Seonwoo Kim ◽  
Heewoong Ahn ◽  
Yoona Jang ◽  
Minye Hong ◽  
Minji Seo ◽  
...  
Keyword(s):  
Big Data ◽  
Exploratory Analysis ◽  
Analysis Method ◽  
Customer Journey

scholarly journals Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing

2021 ◽  
Vol 9 (1) ◽  
pp. 16-44
Author(s):  
Weiqing Zhuang ◽  
Morgan C. Wang ◽  
Ichiro Nakamoto ◽  
Ming Jiang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Web Of Science ◽  
Big Data Analytics ◽  
Theoretical Research ◽  
Analysis Method ◽  
Theoretical Comparison ◽  
Statistical Analysis Method ◽  
And Performance ◽  
The U.S

Abstract Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.

scholarly journals POLA PERUBAHAN FONEM VOKAL DAN KONSONAN KATA SERAPAN DARI BAHASA JEPANG KE DALAM BAHASA INDONESIA

Prosodi ◽  
2021 ◽  
Vol 15 (2) ◽  
pp. 166-177
Author(s):  
Mellati Riandi Putri ◽  
Tb. Ace Fachrullah ◽  
Susi Machdalena
Keyword(s):  
Big Data ◽  
Qualitative Analysis ◽  
Analysis Method ◽  
Data Source ◽  
Bahasa Indonesia ◽  
News Online ◽  
Vowel Change ◽  
Descriptive Qualitative

This research is purposed to determine the pattern of phoneme which changed in Indonesian loanwords which derived from Japanese. This research based on descriptive qualitative analysis method. The data source of this research is article from Kompas news online website which uploaded from January until October 2020. There are 67 data which classified to the pattern of phoneme that changed based on theory of vowels and consonant from Marsono and for Japanese vowels and consonant using theory from Sudjianto and Dahidi. There are 3 patterns of phoneme that changed in Indonesian loanwords which derived from Japanese found from this research: the pattern from one vowel change, the pattern from one vowel and one consonant change, and the pattern from one consonant change. The further research through big data such as corpus based research might be needed to find another variations of this pattern.

scholarly journals Analysis of Cultural Meme Characteristics for Big Data of Cultural Relics

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 584
Author(s):  
Haifeng Li ◽  
Zuoqin Shi ◽  
Li Chen ◽  
Zhenqi Cui ◽  
Sumin Li ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Word Segmentation ◽  
Historical Background ◽  
Analysis Method ◽  
Cultural Characteristics ◽  
The Social ◽  
Similarities And Differences ◽  
Merging Method ◽  
Cultural Relics

The cultural meme is the smallest unit constituting a dynasty′s culture, which has the same inheritance and variability as biological genes. Here, based on the name of cultural relics, we extract cultural memes through semantic word segmentation, word frequency statistics, and the synonym merging method, and construct dynasty cultural meme vectors. We analyzed color, auxiliary, texture, shape, and overall networks of five types of model to construct the culture network, using the social network analysis method, and explored the clustering and degrees of centrality characteristics of cultural memes. We then analyzed the similarities and differences among cultures of the dynasties. The main conclusions are as follows: (1) Cultural memes represent different cultural characteristics of dynasties, and the inheritance and differences among dynasties’ cultures are closely related to their historical background. (2) Prevalence memes construct the cultural label of dynasties, which can roughly restore the cultural appearance of dynasties through fewer prevalence memes. (3) The use of community detection with a cultural meme network can determine the clustering of dynasties′ cultures, and the degree of centrality further reflects the main cultural characteristics presented by successive dynasties.

A novel approach of fault-influencing factors analysis for high-voltage switchgears quality supervision based on industrial big data

2019 ◽  
Vol 233 (14) ◽  
pp. 2531-2546 ◽  
Author(s):  
Xianguang Kong ◽  
Jiantao Chang ◽  
Pei Wang ◽  
Siyi Gong ◽  
Yabin Shi ◽  
...  
Keyword(s):  
Big Data ◽  
Qualitative Analysis ◽  
Influencing Factors ◽  
High Voltage ◽  
Occurrence Probability ◽  
Analysis Method ◽  
Factors Analysis ◽  
Industrial Big Data ◽  
Discrete Interval ◽  
Interval Value

Fault-influencing factors analysis is an important part of the quality supervision process. There are double functions for high-voltage switchgears that switch off and protect electric circuits in power transmission lines. Such devices have serious impact on power grid–operating efficiency, factory operation, and resident life, which will cause economic losses. As it was difficult for traditional methods to analyze fault-influencing factors accurately and comprehensively, a novel method based on industrial big data was proposed to analyze high-voltage switchgears fault-influencing factors in the process of quality supervision in this article, which integrated the qualitative and quantitative analyses method. In this model, the Classification Based on Multiple Class-Association Rules based on Gaussian Mixture Model as the qualitative analysis method was adapted to analyze the whole life cycle of fault-influencing factors of high-voltage switchgears comprehensively, and supplied fault-influencing factors with discrete interval value ranges. The logistic regression method based on qualitative analysis was constructed to calculate fault occurrence probability quantitatively, including the single-fault occurrence probability and the multiple-faults joint occurrence probability. In addition, the single-fault occurrence probability was used to modify the discrete interval value ranges calculated by the qualitative analysis method, which could make the ranges more accurately. Consequently, the proposed method could provide important reference for high-voltage switchgears operation maintenance, and it would be possible to design accurate maintenance plans before equipment failure. The final instance demonstrates the effectiveness of the proposed methodology.

Sign in / Sign up

Export Citation Format

Share Document