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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

共 1217 条记录，以下是21-30 订阅

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Study on Statistical analysis of Post-Earthquake Road Use Recovery and Its Application

Study on Statistical Analysis of Post-Earthquake Road Use Re...

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IEEE International conference on Big data

作者： Jieling Wu Mitsugu Saito Design and Media Technology Graduate School of Engineering Iwate University Morioka Japan

ISBN: (纸本)9781665480468

Efficient road recovery is essential for people’s wellbeing and economic recovery. The three prefectures on the Pacific side of the Tohoku region (Fukushima, Miyagi, and Iwate), are relatively similar to the three prefectures (Shizuoka, Aichi, and Mie) in the Tokai region in terms of the topographical environment. The purpose of this study is to simulate the recovery of local roads in the Tokai region after the Nankai Trough earthquake, which is expected to occur in the near future based on data from the 2011 Tohoku Earthquake. We identified regional characteristics and other factors influencing road recovery from previous cluster analysis and GIS visualization of driving data from the Tohoku region in the six months following the 2011 earthquake. However, we found that the cluster parameters were too broad, so in this study, we re-clustered the coastal and inland areas and applied stepwise discriminant analysis to construct a road recovery prediction model that can help guide the recovery of municipal roads in the Tokai region after the expected Nankai Trough earthquake.

关键词： Economics Analytical models Statistical analysis Roads Earthquakes Sea measurements Big data

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The Trend, Hotspots, Frontier and Path of Big data visualization Research in China-Based on the Knowledge Graph analysis of Citespace5.5.R2

The Trend, Hotspots, Frontier and Path of Big Data Visualiza...

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2020 International conference on Culture-Oriented Science and Technology, ICCST 2020

作者： Min, Guanghui Lin, Muhui Li, Zhe Du, Yuexia Fujian Normal University Faculty of Education Fuzhou China

ISBN: (纸本)9781728181387

In 2016, China has adopted big data visualization technology as its national development strategy, however relevant literature review research is deficient at present. In view of this, this study uses Citespace5.5.R2 to elaborately analyze 2875 documents in CNKI database from 1994 to 2020 by adopting the methods of keyword co-occurrence analysis, document co-citation analysis and high-cited document analysis, which reasonably draw a conclusion on the research trend, research hotspots distribution, research frontier and research path of big data visualization research field in China. In general, research on big data visualization in China keeps a steady growing trend;Research hotspots are divided into four major themes: journalism is the main application industry, big data visualization technology and platform research, the representation of big data visualization and big data visualization algorithm research. From the perspective of research frontier, research based on Knowledge Graph has become the latest research method and Echart has become the latest technology implementation method in this field. In view of the research path, Chinese big data visualization research has gone through three stages: 1994-2003 is in the embryonic stage, 2004-2011 is in the stage of stable development and 2012-2020 is in the rapid development stage. © 2020 IEEE.

关键词： data visualization

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Applying data visualization Guideline on Forest Fires in Argentina 10

Applying Data Visualization Guideline on Forest Fires in Arg...

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10th International conference on Cloud Computing, data Science and Engineering (Confluence)

作者： Sanchez Reynoso, Maria Laura Jose Divan, Mario Natl Univ La Pampa Econ Sch Data Sci Res Grp RA-6300 Santa Rosa La Pampa Argentina

ISBN: (纸本)9781728127910

Nowadays, the data has a dynamic never seen before. They have continuous growth which is associated with the permanent generation from both data entered by users and new data derived from systems. In this context, the data visualization plays a highlighted role because it allows synthetically communicating high-data volume making them understandable for the End-user. This aspect constitutes a key asset throughout the decision-making process in any organization because incorporates dynamism and fosters different kinds of analysis. For that reason, the use of guidelines allows tutoring a process and in particular, those related to data visualizations. In this work, the general visualization process is described in order to schematize the way in which user requirements and sketches converge. Next, the visualization design describes the way in which the sketches could be implemented using the software. As a contribution, here an application case using the forest's fires dataset of Argentina between 2011 and 2017 is shown in order to serve as a reference for the guidelines' using. The case was implemented using Qlik Sense Cloud, incorporating a set of dynamic behaviors included in the platform, such as the possibility of making zoom on maps or sharing the selections between visual components. The employed data are freely available on ***, the Open-data platform of Argentina's Government. The case allows exemplifying the use of guidelines, its applicability, and the chosen data visualization strategy in a consistent way.

关键词： data visualization Big data Guidelines Forest Fires Open data Argentina

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Scientific Measurement and visualization analysis of International Omni-channel Retailing Research (2011-2020)-Research on Knowledge Graph-Based on Co-word analysis 5

Scientific Measurement and Visualization Analysis of Interna...

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2021 5th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2021

作者： Chen, Xiaoxia Li, Zhongbin College of Management Fujian Agriculture and Forestry University Fuzhou350002 China Jinshan College Fujian Agriculture and Forestry University Fuzhou350002 China

With the development of digital technologies such as cloud computing, big data, and 5G, omni-channel retailing has become the direction of the retail industry reform. To understand the research context, hot spots, and future development trend of global omni-channel retailing in the past decade and provide a reference for relevant research, this paper collects relevant articles in the WOS database from 2011 to 2020, uses the co-word analysis method to make statistics and analysis on keywords, and uses Bicomb, Spss and Excel software to conduct cluster analysis and strategic coordinate analysis on omni-channel retailing research. The results show that the research on omni-channel retailing logistics and supply chain, the research on omni-channel integration and management, and the research on omni-channel digital marketing and consumer behavior are the three hot areas of omni-channel retailing research. In the future, the mixed methods combining quantitative researches (such as machine learning, artificial neural network, and quantitative model) with qualitative research (such as case research and interviews) can be used from a mixed perspective of consumers and retailers to conduct in-depth research on the operation mechanism and the decision-making mechanism of omni-channel retailing and the interdisciplinary research combining omni-channel and organizational management. © Published under licence by IOP Publishing Ltd.

关键词： Cluster analysis

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analysis of the characteristics of hepatitis B in various regions of China from 2009 to 2011 and the analysis of TCM diagnosis and treatment plans

Analysis of the characteristics of hepatitis B in various re...

引用

2021 IEEE International conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Yin, Yating Li, Guo-Zheng Wang, Yiguo Zhang, Qiming Wang, Mingqiang Zhang, Lei Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical Science Beijing China Henan University of Chinese Medicine Information Office Zhengzhou China Experimental Research Center China Academy of Chinese Medical Science Beijing China National Data Center of TCM China Academy of Chinese Medical Sciences Beijing China

ISBN: (纸本)9781665401265

Objectives: To sort out the regional distribution characteristics of viral hepatitis B in China and Chinese medicine treatment plans, summarize the rules, and explore the regional characteristics to provide references for clinical diagnosis and treatment decision-making and related research. Technology or Method: Collect the electronic medical record information of 25,549 visits of 8544 patients with 117 doctors in 20 tertiary A hospitals in different regions of China. The correlation between the epidemic characteristics of hepatitis B and regional factors is analyzed, and visualization technology is used to display it. Results: After inclusion and exclusion criteria, the medical records of 2573 patients with 2573 visits were finally used as the data source of this study. After analysis, it can be seen that for the Chinese region, there are more hepatitis B patients in the south than in the north. The south is dominated by Syndrome of dampness-heat blocking collaterals, and the north is dominated by Syndrome of stagnation of liver qi and spleen deficiency. Qinggan Lishi Decoction is commonly used in southern treatment, and Xiaoyao powder is commonly used in northern treatment. Conclusion: The incidence of viral hepatitis B has regional characteristics. Diagnosis and treatment of viral hepatitis B in various regions have many common features. The TCM symptoms of the disease and the distribution of TCM prescriptions have certain regularities and differences. The diagnosis and treatment plan of Chinese medicine needs to consider various factors such as climate and patient's physical condition to achieve the best treatment effect. © 2021 IEEE.

关键词： data mining

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Literature analysis on the research status of mass entrepreneurship and innovation training projects : Document metrology based on CNKI database

Literature analysis on the research status of mass entrepren...

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Education, Knowledge and Information Management (ICEKIM), International conference on

作者： Liang Zhou Wen Jing Zhang Information Engineering Institute Lanzhou University of Finance and Economics Lanzhou China Financial Institute Lanzhou University of Finance and Economics Lanzhou China

ISBN: (纸本)9781665416672

Taking the literature of CNKI as the data source and using the literature metrological visual analysis function of CNKI, this paper makes a quantitative analysis on the relevant literature in the research field of "College Students’ innovation and entrepreneurship training program" from 2011 to 2021 from the aspects of literature quantity and annual distribution, subject analysis, discipline distribution, source journals, and author distribution, Get the research status and development trend of innovation and entrepreneurship training projects. The results show that in recent ten years, Chinese scholars have paid more and more attention to the research of "College Students’ innovation and entrepreneurship training program," and the keywords with high frequency are "innovation and entrepreneurship," "innovation and entrepreneurship education," "practical teaching" and so on; Education and teaching forum, with 4705 papers published as relevant research papers, has the most significant number of papers, followed by education modernization and laboratory research and exploration, with 393 and 333 papers respectively. Huang Suoyi, Jian Guoming, Zhang Liucheng, and the other three authors wrote a lot, but the distribution of authors was scattered. Higher education, medical education, marginal medical disciplines, computer software, and computer applications ranked among the top three in the number of documents issued.

关键词： Training Technological innovation visualization Statistical analysis Soft sensors Entrepreneurship Innovation management

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Research trends on ethnoscience based learning through bibliometric analysis: Contributed to physics learning

Research trends on ethnoscience based learning through bibli...

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2021 National Physics Seminar on New Adaptations in Physics Learning and Research to Realize an Independent Learning Program, SNF 2021

作者： Hidaayatullaah, H.N. Suprapto, N. Hariyono, E. Prahani, B.K. Wulandari, D. Science Education Postgraduate Program Universitas Negeri Surabaya Indonesia

The research purposes are 1) Analyse the results of bibliometric mapping visualization on research trends ethnoscience-based learning and its contribution to physics learning, 2) Analyse author collaboration on research trends ethnoscience-based learning, and 3) Recommendations for future ethnoscience research in physics learning. In this research, the descriptive method is applied with a bibliometric approach. data was obtained through the Scopus and Google Scholar databases published in the period 2011-2020. The results showed that ethnoscience-based learning made a major contribution to science learning at the elementary to junior high school level and physics at the high school to university level. Ethnoscience can be integrated with learning innovations in schools and can also train/improve students' thinking skills. Ethnoscience also dominates the social sciences. The recommended research trends in the Scopus and Google Scholar databases are physics learning about ethno-stem, development of ethnoscience-based physics teaching materials, ethnoscience-based physics learning to train students' scientific literacy and problem-solving skills. © 2021 Institute of Physics Publishing. All rights reserved.

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Coresets for Clustering in Graphs of Bounded Treewidth 37

Coresets for Clustering in Graphs of Bounded Treewidth

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International conference on Machine Learning (ICML)

作者： Baker, Daniel Braverman, Vladimir Huang, Lingxiao Jiang, Shaofeng H-C Krauthgamer, Robert Wu, Xuan Johns Hopkins Univ Baltimore MD 21218 USA Yale Univ New Haven CT 06520 USA Weizmann Inst Sci Rehovot Israel

ISBN: (纸本)9781713821120

We initiate the study of coresets for clustering in graph metrics, i.e., the shortest-path metric of edge-weighted graphs. Such clustering problems are essential to data analysis and used for example in road networks and data visualization. A coreset is a compact summary of the data that approximately preserves the clustering objective for every possible center set, and it offers significant efficiency improvements in terms of running time, storage, and communication, including in streaming and distributed settings. Our main result is a near-linear time construction of a coreset for k-MEDIAN in a general graph G, with size O-epsilon,O-k(tw(G)) where tw(G) is the treewidth of G, and we complement the construction with a nearly-tight size lower bound. The construction is based on the framework of Feldman and Langberg [STOC 2011], and our main technical contribution, as required by this framework, is a uniform bound of O (tw(G)) on the shattering dimension under any point weights. We validate our coreset on real-world road networks, and our scalable algorithm constructs tiny coresets with high accuracy, which translates to a massive speedup of existing approximation algorithms such as local search for graph k-MEDIAN.

关键词： data visualization

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Collaborative Visual Analytics Using Blockchain 17th

Collaborative Visual Analytics Using Blockchain

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17th International conference on Cooperative Design, visualization, and Engineering (CDVE)

作者： Coelho, Darius Trailor, Rubin Sill, Daniel Engle, Sophie Joshi, Alark Mankovskii, Serge Velez-Rojas, Maria Greenspan, Steven Mueller, Klaus SUNY Stony Brook Stony Brook NY 11790 USA Univ San Francisco San Francisco CA 94117 USA

ISBN: (纸本)9783030608156;9783030608163

Blockchain, a decentralized, distributed and encrypted ledger, was created to eliminate the need for a central trusted entity. Blockchains provide users with a secure, trusted, auditable, and immutable record of transactions and are applicable to systems that require a trustworthy record of information. Our work explores the use of blockchain in collaborative visual analytics systems where users share and store a record of the visual analysis of some data. We built ***, a framework that allows users to store and share the states of visual analytics dashboards through a blockchain. We apply *** to an existing visual analytics dashboard and conduct a pilot study to understand the effectiveness and limitations of blockchain in collaborative visual analytics.

关键词： Collaborative visualization Provenance Blockchain

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Application of Simulation for Emulating and Visualizing Nanotechnology 10th

Application of Simulation for Emulating and Visualizing Nano...

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10th International conference on Advanced Computational Engineering and Experimenting (ACE)

作者： Khan, Ahmed S. DeVry Univ Coll Engn & Informat Sci Addison IL 60101 USA

ISBN: (纸本)9789811398063;9789811398056

Phenomenal interest in new and emerging technologies like nanotechnology has led to an increased demand for graduates who have sound knowledge of fundamental principles underlying the design and operation of complex systems. However, incorporation of such learning processes, including state-of-art technological tools and equipment, requires considerable time and financial resources. Keeping curricula and labs current with the rapid change of technology pose another challenge for academia. visualization plays an important role in the modern scientific process. In an era where the means of generating data through natural inquiry or simulation have vastly exceeded the power of direct analysis, tools to interpret and explore the data are crucial to the continued pursuit of knowledge (Patterson in Nanoscale visualization: transfer function exploration, 2003, [1]). visualization of processes can be achieved by using simulation tools. In addition to cost savings, simulation offers a number of other advantages: (a) allowing the user to modify system parameters and observe the outcomes without any harmful side effects (b) eliminating component or equipment faults that affect outcomes (c) supporting users progress at their own pace in discovery and understanding of concepts and issues, and (d) enhancing the presentation of "dry" concepts by integrating theory and practice (Cherner et al. in Use of adaptable simulation-based virtual laboratories for teaching alternative energy and energy conservation in engineering & technology programs, 2011, [2]). Simulation has another major advantage in that a simulation is task- and learner-neutral;it models an object/system construction and operation or learning situation. Within simulation functionality, there are no restrictions on the student's actions. Realistic simulations visualize processes occurring in the devices and enable students to observe the physical processes at different levels (from macroscopic to subatomic), analyse co

关键词： Nanotechnology visualization Simulation Remote access instruments Computer-based instruction (CBI) Feedback Scaffolding Cognitive apprenticeship Sequential design Parallel design Mixed design Atomic force microscope (AFM) Scanning electron microscope (SEM) NanoHub Remotely accessible instruments for nanotechnology (RAIN) Energy dispersive spectroscopy (EDS) Fourier transform infrared spectroscopy (FTIR) X-Ray fluorescence (XFR) Nanosensors Nanophotonics Micro electro mechanical systems (MEMS)

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