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23rd International conference on Extending database Technology, EDBT 2020

作者： Liu, Xiufeng Niu, Zhibin Yang, Yanyan Wu, Junqi Cheng, Dawei Wang, Xin Technical University of Denmark Lyngby Denmark School of Computing University of Portsmouth PortsmouthPO1 3HE United Kingdom Tianjin University Tianjin China Shanghai Jiaotong University Shanghai China Southwest Jiaotong University Chengdu China

ISBN: (纸本)9783893180837

In the context of urbanization and the rapid growth of energy demand, understanding the spatial and temporal dynamics of urban energy use is crucial for identifying energy-saving potentials. In this demo, we present a visual analysis tool, VAP, that allows users to explore the dynamics of urban energy use at different spatial and temporal scales. In contrast to traditional statistical and machine learning methods, the visual analysis based tool focuses on analytical thinking, user interactions and answering business questions by examining different visual analysis views. In the demonstration, conference attendees will interact with VAP and learn its capabilities in discovering typical consumption patterns and spatio-temporal shift patterns from a real-world case study of electricity. © 2020 Copyright held by the owner/author(s).

关键词： Energy utilization

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Variable Selection for Credit Risk Scoring on Loan Performance Using Regression analysis 4

Variable Selection for Credit Risk Scoring on Loan Performan...

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4th IEEE International conference on Computer and Communication Systems (ICCCS)

作者： Calibo, Dawn Iris Ballera, Melvin A. Technol Inst Philippines Manila Grad Programs Manila Philippines

ISBN: (纸本)9781728113227

The advancement of information and communication technology has accelerated developments in the field of credit management. This is reciprocated by the introduction of data analytics to process relevant information that could be useful specifically in financial granting decisions. With this, the researcher presents a research-in-progress of designing a risk analysis and recommendation system for the Department of Science and Technology VII Small & Medium Enterprise Technology Upgrading Program (DOST VII-SETUP). Its main feature is focused on credit risk analysis. To develop the application, selected variables to be used for credit scoring is identified based on the DOST Administrative Order No. 002 on Revised Small Enterprises Technology (SET-UP) Guidelines and 9-year historical data on granted loan projects from 2008-2016. With the use of tableau software, a data mining process was executed utilizing linear regression and trend model visualization for analysis. As the data on selected variables are validated, a proposed decision matrix on credit scoring has been developed. This leads to the recommendation on the development of the credit risk analysis and recommendation system by computing the center of gravity of each score through the fuzzy logic algorithm.

关键词： credit risk analysis credit risk scoring linear regression loan performance variable selection

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Knowledge Discovery and data visualization for Taiwan Stock Market: Using F-Score analysis

Knowledge Discovery and Data Visualization for Taiwan Stock ...

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IEEE International conference on Industrial Engineering and Engineering Management (IEEM)

作者： Yang, K. C. Chianglin, C. Y. Huang, Chia-Hui Chen, I. H. Natl Kaohsiung Univ Sci & Technol Dept Finance & Informat Kaohsiung Taiwan Natl Taipei Univ Business Dept Business Adm Taipei Taiwan

ISBN: (纸本)9781728138046

This study examines the performance of stocks investment portfolio by using accounting information. The sample is selected from Taiwan Economic Journal to test F-SCORE cooperating with Dividend-to price ratio, Earnings-to -price Ratio and Book-to -Market respectively. The sample period is from May, 2008 to May, 2018. The findings of this study are as follows. First, if we choose Dividend-to-price ratio, Earnings-to -price Ratio or Book-to-Market to distinguish from the value and growth portfolio, the value portfolio is significantly better than the growth one. Second, if we choose F-SCORE to distinguish from high and low score, the high score portfolio is significantly better than the low score one. The result showed that when the investor use Dividend-to price ratio, Earnings-to-price Ratio or Book-to-Market together with fundamental financial information, they could become more profitable or more effectively improve the performance.

关键词： Value Investing F-SCORE data visualization Knowledge Discovery

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基于CiteSpace的循环流化床研究动态的可视化分析

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电力学报 2023年第3期38卷 254-266页

作者：阎正坤王静常建峰山西大学学术期刊社太原030006

随着“三改联动”的实施与推进,循环流化床锅炉技术的发展受到了广泛关注,关于CFB的文献分析可为相关研究提供参考。采集了CNKI收录的以CFB为主题,在2000-2022年发布的中文文献的信息,并对采集的数据进行了去重、清洗、格式规范等预处... 详细信息

随着“三改联动”的实施与推进,循环流化床锅炉技术的发展受到了广泛关注,关于CFB的文献分析可为相关研究提供参考。采集了CNKI收录的以CFB为主题,在2000-2022年发布的中文文献的信息,并对采集的数据进行了去重、清洗、格式规范等预处理工作,利用CiteSpace文献计量分析软件对被统计文献的信息进行可视化图谱绘制并展开对研究机构、作者和关键词的分析。预处理后共获得5780条文献信息,包括期刊论文、学位论文、会议论文和科研成果4类文献;可视化图谱显示,共纳入了257家研究机构、289位作者、290个关键词,节点间连线较多;关键词聚类的参数Q值和S值均在合理区间。2000-2022年间,CFB研究文献数量总体呈现波动增长的趋势,近年发文量略有下降,发文量较多的年份为2008年和2013年,各类文献中期刊文献占比达到82.11%;共现频次较高的研究机构或作者的合作频度也较高,发文量前25的研究机构,其发文量占被统计文献的比例为42.73%,说明其在CFB行业内的影响力较大;超超临界、低氮燃烧、粉煤灰、深度调峰和碳中和是近年来高度受研究者关注的主题,气固流动(气-固两相流)近3年受到了更多研究者的关注。

关键词：循环流化床 CiteSpace 可视化床温脱硫数值模拟超超临界低氮燃烧

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visualization analysis of BIM Research Hotspot and Evolutional Trend

Visualization Analysis of BIM Research Hotspot and Evolution...

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2019 International conference on Civil Engineering, Environment Resources and Energy Materials, CCESEM 2019

作者： Liu, Yanqi Liu, Xinnan Zhao, Likun School of Civil Engineering North China University of Technology Beijing100144 China

Building Information Modeling (BIM) has gained rapid development and received broad worldwide attention among researchers and architects. To grasp the research progress of BIM is of great significance for researchers and enterprises engaged in BIM related studies and plotted a science knowledge map by with the visualization tool CiteSpace, and used biliometric analysis to compare BIM studies published from 2008 to 2018 in China and abroad from three perspectives: knowledge base, research hotspot and evolutional trend. The research result shows that BIM studies abroad focus on interdisciplinary fields, but Chinese BIM studies focus more on application of BIM technologies in actual projects. Research on integration of BIM with Internet, big data, cloud computing and other information technologies is bound to become a new research trend of BIM in China. © Published under licence by IOP Publishing Ltd.

关键词： Knowledge based systems

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An analysis of data Science Study in the field of Editing and Publishing Science in China (2008-2018) 19

An analysis of Data Science Study in the field of Editing an...

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Proceedings of the 3rd International conference on Big data Research

作者： Yang Dandan Yang Wancheng School of Information Management Wuhan University China China School of Humanities and Communication Ningbo University China China

ISBN: (纸本)9781450372015

In this paper, we explored the research status, hotspots, development contexts and trends of data Science study in the field of editing and publishing in China. In our study, we selected 441 data Science articles which published in 15 journals of editing and publishing science from 2008 to 2018 in CNKI database. By using Citespace, a bibliometric and visualization software, we analyzed the characteristics of publications, authors and research institutions in this field, plot the knowledge graph of data science study in the field of editing and publishing. According to the analysis, we found data Science study in the field of editing and publishing has a clear development path in China, and most of the research findings would be divided into three aspects: a) research on data storage and mining; b) research on the application of Big data in publishing Industry; c) research on collaborative development of data science technology and digital publishing. Although the data Science method has been applied to solve scientific research problems and guide social production in the field of editing and publishing, the core researcher group is still weak and the study is in the stage of developing. It's going to be the focus of future research that the application of new data science method, such as Artificial Intelligence, to new production and profit model in publishing industry.

关键词： Citespace data Science Bibliometric Method Editing and Publishing

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An analysis of data science study in the field of editing and publishing science in China (2008-2018) 3

An analysis of data science study in the field of editing an...

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3rd International conference on Big data Research, ICBDR 2019

作者： Dandan, Yang Wancheng, Yang School of Information Management Wuhan University China430072 China School of Humanities and Communication Ningbo University China315211 China

ISBN: (纸本)9781450372015

In this paper, we explored the research status, hotspots, development contexts and trends of data Science study in the field of editing and publishing in China. In our study, we selected 441 data Science articles which published in 15 journals of editing and publishing science from 2008 to 2018 in CNKI database. By using Citespace, a bibliometric and visualization software, we analyzed the characteristics of publications, authors and research institutions in this field, plot the knowledge graph of data science study in the field of editing and publishing. According to the analysis, we found data Science study in the field of editing and publishing has a clear development path in China, and most of the research findings would be divided into three aspects: a) research on data storage and mining;b) research on the application of Big data in publishing Industry;c) research on collaborative development of data science technology and digital publishing. Although the data Science method has been applied to solve scientific research problems and guide social production in the field of editing and publishing, the core researcher group is still weak and the study is in the stage of developing. It's going to be the focus of future research that the application of new data science method, such as Artificial Intelligence, to new production and profit model in publishing industry. © 2019 Association for Computing Machinery.

关键词： Digital storage

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Using a data science pipeline for course data: A case study analyzing heterogeneous student data in two flipped classes 126

Using a data science pipeline for course data: A case study ...

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126th ASEE Annual conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019

作者： Sener, Asuman Cagla Acun Hieb, Jeffrey Lloyd Nasraoui, Olfa University of Louisville United States

This study presents a data science methodology to integrate and explore disparate student data from an engineering-mathematics course. Our methodology is based on exploratory data mining and visualization for analyzing and visualizing raw student data from multiple data sources. The exploratory analysis serves two purposes, 1) it supports the instructor's desire to gain insights into the implementation of a flipped classroom and 2) it serves as a case study for a proposed data science pipeline for educational data. As part of the flipped class, the instructor had students completed assignments in an online homework system before each class meeting and work readiness assessment tests (RATs) at the beginning of each class. The RAT scores were recorded in excel and combined with student performance data that was exported from the online homework system. Paper exams were administered at the end of each unit, and combined with RAT scores, lesson assignment scores, and demographic data. A combination of data mining and classical statistical techniques were used to reveal the trends and peculiarities in the data, without having a specific question or topic to investigate. The data science pipeline which we present has four major stages: data preprocessing, exploratory factor analysis, visualization, and feature engineering. Our study revealed some trends and clusters within and across course units. analysis results show the differences and similarities within the course units and help track learner behavior. A few differences related to gender were found, but prior experience in a course taught using the flipped classroom model did not show a significant difference. Exploratory factor analysis identified two factors from the whole data: class activities and exams (factor 1) and homeworks and lesson assignments (factor 2). The discovered factors were found to cluster in two groups within the course units: Unit 1 to 7 and Unit 8 to 13, which has a dividing point at the withd

关键词： Students

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Webqual and Importance Performance analysis Method: The Evaluation of Tegal City's Public Service Information System Web Quality

Webqual and Importance Performance Analysis Method: The Eval...

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International conference on Informatics and Computing (ICIC)

作者： Warjiyono Amin Nur Rais Fandhilah Wati Erawati Nurdiana Handayani Hendra Mayatopani Study Program of Accounting Information System Bina Sarana Informatika University Jakarta Indonesia Study Program of Information System Bina Sarana Informatika University Jakarta Indonesia Study Program of Informatics Technic Muhammadiyah Tangerang University Tangerang Indonesia Study Program of Information System Pradita University Jakarta Indonesia

ISBN: (数字)9781728180472

ISBN: (纸本)9781728180489

According to Indonesian Law no. 14 of 2008 concerning public information disclosure states that every state organizer and public institution is encouraged to conduct public information disclosure. To carry out the transparency, the Tegal City Government has launched a service information system website at http://*** as an online media in order to obtain and to provide Tegal City's public information services for the public. The interview result with the website service manager stated that the website has never been assessed against user satisfaction. In fact, the public information system is the image of the local government towards the seriousness of providing facilities for the public to be accessed easily. This study used WebQual 4.0 and Importance Performance analysis (IPA) methods with 4 (four) instruments, there are usability quality, information quality, quality of service interaction, and visual quality with a total of 24 indicators presented in questionnaires. This type of research is descriptive with a quantitative approach and data is processed using SPSS software. The results of this study state that Tegal City public service information system website is good in general, but there are top priority improvements to be made immediately such as the attributes of providing accurate information and the ease for people to understand the information. The results of this research are expected to contribute positively to the development of Tegal city public service information system website in order to be better and qualified, and also improving competitiveness in realizing good governance.

关键词： visualization Urban areas Quality of service Software Performance analysis Usability Information systems

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On the analysis of a public dataset for diabetes 13

On the analysis of a public dataset for diabetes

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13th International conference on Digital Information Management, ICDIM 2018

作者： Mao, Abdihakim Omair Shafiq, M. School of Information Technology Carleton University OttawaON Canada

ISBN: (纸本)9781538652435

Analyzing data by visualization can help medical institutions make more informed decisions on the admission of future patients. A dataset provided by the University of California, Irvine, (UCI) Machine Learning Repository contains information on patients with diabetes that represents 10 years (1999-2008) of clinical care at 130 US hospitals. Charts on the diabetes dataset were created using Tableau, a data visualization software. In addition, an extensive analysis of the dataset was completed by providing possible reasons for the output found in the charts. The knowledge obtained from analyzing the diabetes dataset will help provide important information to medical institutions concerning future diabetic patients in need of hospital services. © 2018 IEEE.

关键词： data mining

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