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International conference on Big data, Information and Computer Network (BDICN)

作者： Wei, Chuanli Xu, Guangqi Harbin Univ Commerce Harbin Heilongjiang Peoples R China

ISBN: (纸本)9781665484763

Using the data visualization software CiteSpace to analyze the co-occurrence network diagram of public sports and big data derived from the advanced search on CNKI, we can get the research emphasis in the field of big data of public sports services, they are mainly concentrated on key words of big data, Internet plus, sports service, demand and mass sports. Combined with relevant research literature and the latest policy content, this paper constructs a concise and intuitive operation system of public sports service intelligent platform, and puts forward promotion strategies for the operation of the platform system: Strengthen policy support;Promote diversified cooperation;Highlight safety supervision;Accelerate technological innovation.

关键词： Smart sports Public sports services CiteSpace Big data analysis

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A visualization data analysis of Second-hand Houses in Zhuhai Based on Python and ECharts and Bootstrap

A Visualization Data Analysis of Second-hand Houses in Zhuha...

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2022 International conference on Big data, IoT, and Cloud Computing, ICBICC 2022

作者： Fan, Qiao Lu Duan, Xiang Ban Gao, Jie Guangdong Polytechnic of Science and Technology Computer Engineering and Technical College Guangzhou510640 China

ISBN: (纸本)9781450399548

In the era of huge data, because of the information explosion, it becomes extremely difficult for users to completely understand the source data information of second-hand houses. It is particularly necessary to use large data analysis technology and data visualization technology to meet the needs of buyers and renters. In view of the complicated information system of second-hand housing, buyers and renters need to obtain objective and comprehensive second-hand housing data in a short time, a visual analysis system for second-hand housing data is developed. Selenium+XPath crawler is used to climb the second-hand house data of Zhuhai in Shell second-hand housing network. Then, the data is stored into corresponding CSV files. The CSV files are converted into JSON files through the conversion website. Finally, the visual interface is built by Bootstrap and is displayed with the visual analysis chart of ECharts. Users can directly click the menu on the web-page, a detailed understanding of the second-hand housing source intuitive and appropriate visualization chart data, so as to better make the right decision to buy or rent. The system has a relatively powerful function, to meet the real needs of buyers and renters. © 2022 Owner/Author.

关键词： Python

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Analyzing the Research Hotspots and Trends in Crisis Leadership in the Big data Era - - A Bibliometric visualization analysis Based on WoSCC 9

Analyzing the Research Hotspots and Trends in Crisis Leaders...

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9th International conference on Big data and Information Analytics, BigDIA 2023

作者： Luo, Jiali Yang, Qingqing Liu, Guangda National University of Defense Technology College of Systems and Engineering Changsha China

ISBN: (纸本)9798350330076

In order to comprehensively understand the development context and evolution trends of international crisis leadership research in the big data era, this study uses the journal papers retrieved from the Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI) databases of the Web of Science Core Collection (WoSCC) as the main data source, and with the help of visual analysis tool CiteSpace software, carries out a scientific literature metric analysis on the core authors, research countries, research institutions, publishing journals, theme keywords, and hotspot trends of international crisis leadership research. The series of knowledge maps are drawn. The results show that: The annual number of publications on crisis leadership research has experienced three stages: a slow growth period (2002-2008), a significant growth period (2009-2019), and a rapid growth period (2020-2023). The cumulative publication volume shows a continuous increase trend. The crisis leadership field research literature mainly comes from a few core author groups, and the research of core authors has laid the foundation for crisis leadership. The United States ranks first among the countries conducting research on crisis leadership, followed by England, and China is the most productive country in Asia. © 2023 IEEE.

关键词： Big data

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Optimal Axes for data Value Estimation in Star Coordinates and Radial Axes Plots

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COMPUTER GRAPHICS FORUM 2021年第3期40卷 483-494页

作者： Rubio-Sanchez, M. Lehmann, D. J. Sanchez, A. Rojo-Alvarez, J. L. Univ Rey Juan Carlos Madrid Spain Univ Magdeburg Magdeburg Germany Ostfalia Univ Appl Sci Wolfenbuttel Wolfenbuttel Germany

Radial axes plots are projection methods that represent high-dimensional data samples as points on a two-dimensional plane. These techniques define mappings through a set of axis vectors, each associated with a data variable, which users can manipulate interactively to create different plots and analyze data from multiple points of view. However, updating the direction and length of an axis vector is far from trivial. Users must consider the data analysis task, domain knowledge, the directions in which values should increase, the relative importance of each variable, or the correlations between variables, among other factors. Another issue is the difficulty to approximate high-dimensional data values in the two-dimensional visualizations, which can hamper searching for data with particular characteristics, analyzing the most common data values in clusters, inspecting outliers, etc. In this paper we present and analyze several optimization approaches for enhancing radial axes plots regarding their ability to represent high-dimensional data values. The techniques can be used not only to approximate data values with greater accuracy, but also to guide users when updating axis vectors or extending visualizations with new variables, since they can reveal poor choices of axis vectors. The optimal axes can also be included in nonlinear plots. In particular, we show how they can be used within RadViz to assess the quality of a variable ordering. The in-depth analysis carried out is useful for visualization designers developing radial axes techniques, or planning to incorporate axes into other visualization methods.

关键词： CCS Concepts • Human-centered computing → visualization techniques visualization theory, concepts and paradigms • Mathematics of computing → Exploratory data analysis

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Design and implementation of a Cesium-based 3D visualization platform for the Yellow River dam bank

Design and implementation of a Cesium-based 3D visualization...

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2022 International conference on Signal Processing, Computer Networks, and Communications, SPCNC 2022

作者： Zuo, Xianyu Sun, Huaiyuan Zhang, Lei Dang, Lanxue Liu, Yang Xie, Yi Henan Key Laboratory of Big Data Analysis and Processing School of Computer and Information Engineering Henan Universfiity Kaifeng475001 China Zhong Ke Langfang Institute of Spatial Information Applications Langfang065000 China

ISBN: (纸本)9781510664616

Flood control is one of the most important operations of Yellow River control. The dam bank danger in flood season every year has the characteristics of time-varying, multi-dimension and complex situation, which poses a certain threat to people's life and property safety. For timely, flood control engineering data quickly and implement management interface of information visualization, effectively reduce the labor intensity of artificial working risk, this paper puts forward a kind of based on three-dimensional library of Cesium Huang Heba shore the realization method of 3D visualization platform adopted the aerial drones to create dam shore entity 3D model, Combined with WebGIS technology and front-end technology, the system's 3D expression is realized. Through interface design and system function development, the system has three-dimensional model display,with the functions of dam bank cruise and measurement tools, the platform has strong sense of reality and good interaction effect, which realizes the three-dimensional visual display of the Madu control project in Zhengzhou, Henan Province. © 2023 SPIE.

关键词： Flood control

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analysis of web-based geo-visualization methods applied for Automated Guided Vehicle using Satellite Navigation Systems

Analysis of web-based geo-visualization methods applied for ...

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2022 IEEE International conference on Big data, Big data 2022

作者： Szygula, Jakub Biernacki, Piotr Marek, Dariusz Domanski, Adam Sobczak, Lukasz Flak, Jaroslaw Caban, Dariusz Pawlas, Piotr Silesian University of Technology Department of Distributed Systems and Informatic Devices Poland

ISBN: (纸本)9781665480451

This article presents the comparative analysis of various JavaScript libraries, providing the possibilities of web-based geo-visualization, that can be applied in the case of AGV (Automated Guided Vehicle) working in the open area using GNSS (Global Navigation Satellite Systems) localization systems. A representative group of JS libraries has been selected for analysis. We focused on libraries that enable map generation with the use of the Scalable Vector Graphics format. Their performance issues and development potential are compared. © 2022 IEEE.

关键词： Libraries

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Vocational Behavior Estimation Algorithm of Vocational Students in the Context of Big data With data visualization Models

Vocational Behavior Estimation Algorithm of Vocational Stude...

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2022 International conference on Sustainable Computing and data Communication Systems, ICSCDS 2022

作者： Lu, Wanting Marx College of Talent International College GuangXi QinZhou GuangXi 535000 China

ISBN: (纸本)9781665478847

This article investigates and analyzes the actual career situation of students 'offline' and 'online' with the help of network data resources or mobile APP. Based on the object-oriented data model, key technologies such as level of detail technology and multi-resolution texture model are used to solve the problem of 3D visualization, and the rendering speed of 3D scenes can be accelerated. The existing problems are convenient to give positive guidance to the professional behavior of students in higher vocational colleges, and provide a basis for the school's education and life management of students. The experiment results shown the efficiency has been promoted up to 7.35%. The comparison analysis has proven the effectiveness of the model. © 2022 IEEE.

关键词： Students

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Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific visualization

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COMPUTER GRAPHICS FORUM 2021年第3期40卷 599-633页

作者： Yan, Lin Masood, Talha Bin Sridharamurthy, Raghavendra Rasheed, Farhan Natarajan, Vijay Hotz, Ingrid Wang, Bei Univ Utah Sci Comp & Imaging Inst Salt Lake City UT 84112 USA Linkoping Univ Dept Sci & Technol ITN Norrkoping Sweden Indian Inst Sci Bangalore Dept Comp Sci & Automat Bangalore Karnataka India

In topological data analysis and visualization, topological descriptors such as persistence diagrams, merge trees, contour trees, Reeb graphs, and Morse-Smale complexes play an essential role in capturing the shape of scalar field data. We present a state-of-the-art report on scalar field comparison using topological descriptors. We provide a taxonomy of existing approaches based on visualization tasks associated with three categories of data: single fields, time-varying fields, and ensembles. These tasks include symmetry detection, periodicity detection, key event/feature detection, feature tracking, clustering, and structure statistics. Our main contributions include the formulation of a set of desirable mathematical and computational properties of comparative measures, and the classification of visualization tasks and applications that are enabled by these measures.

关键词： data visualization

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Factor analysis: Uncovering Factor Structure in the Indonesian Teacher Engagement Index (ITEI) Survey Results data 11

Factor Analysis: Uncovering Factor Structure in the Indonesi...

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11th International conference on Computer, Control, Informatics and its Applications, IC3INA 2024

作者： Cam, Grace Shirley Sasmoko Indrianti, Yasinta Manalu, Sonya Rapinta Moniaga, Jurike V. Data Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Primary Teacher Education Department Faculty Humanities Bina Nusantara University Jakarta Indonesia Entrepreneurship Department Podomoro University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9798331542313

This study aims to explore the latent structure of the Indonesian Teacher Engagement Index (ITEI) based on the ITEI survey results of primary school teachers in various regions of Indonesia. Exploration of the ITEI structure is obtained by identifying the main factors hidden in the ITEI survey data with machine learning. The machine learning method used is Exploratory factor analysis (EFA) with Principal Component analysis (PCA). The ITEI dataset consists of 10,365 records, covering 44 items from 6 ITEI dimensions. The machine learning analysis yielded 4 main factors that became new dimensions, explaining the variation of 29 items. The four new factors found are summarized into the dimensions of Values and Ethics in Education, Personal and Social Development in Education, Character and Leadership in Education, and Social Competence and Justice in Education. This exploration was conducted to show the latent structure of the ITEI that matches the real situation and provide a deeper understanding of the main components that make up the teacher engagement index in Indonesia, so that conclusions can be drawn accurately from the survey results. The implications of these findings can be used to improve understanding and development of more effective education policies in the future. © 2024 IEEE.

关键词： Adversarial machine learning

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visualization analysis of Stock data Based on Tableau 18th

Visualization Analysis of Stock Data Based on Tableau

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18th International conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Deng, Chao Peng, Jiao Chen, Yeh-Cheng College of Computer Guangdong University of Science and Technology Guangdong Dongguan523083 China Department of Computer Science University of California DavisCA95616 United States

ISBN: (纸本)9789819906048

In the context of big data, with the rapid development of globalization and social evolution, the outbreak of COVID-19 in 2020 has brought a huge impact on all walks of life, especially the economy. The medical industry is closely related to the COVID-19 epidemic, especially the traditional Chinese medicine industry, which is a treasure of the Chinese nation, has also been affected. This paper takes the data of "SHIJIAZHUANG YILING PHARMACEUTICAL CO., LTD.", a Chinese traditional Chinese medicine enterprise, as an example, obtains the data of recent three years through Python, and uses Tableau, a visual analysis tool, to analyze the data and present it in an intuitive visual form. The statistical rules and development trends of the opening price, closing price, rise and fall, turnover rate, average price, and other data of "SHIJIAZHUANG YILING PHARMACEUTICAL CO., LTD." in the recent three years are shown in graphic form, so as to provide a certain reference for investors. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Python

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