In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the ...
Each visualization is related to a figure specified in the spreadsheet. Supplementary Data 2 Mapping hexel types to a hexagonal lattice. CSV files contain assignments of relevant hexel cell types to p–q coordinates on the hexagonal lattice. The element in the pth row and qth column contains ...
A Multi-Modal Natural Language Interface to an Information Visualization Environment Domain experts frequently know what questions they want to ask about a data set, but they do not necessarily know the mechanisms of using an information vi... K Cox,RE Grinter,SL Hibino,... - 《International ...
Reducing student attrition in tertiary education plays a significant role in the core mission and financial well-being of an educational institution. The availability of big data source from the Learning Management System (LMS) can be analysed to help wi
Therefore, using PLC as a communication technology avoids adding another infrastructure for data exchange by using the power line1,2,3. Power line communication is divided into two categories based on the data rate; narrow band power line and broadband power line communications4,5. Narrow-band ...
Visualization of data An often overlooked area of data analysis is the conversion of data into readily readable formats. Many learning analytics solutions are “pedagogically neutral” and do not feature or support formative feedback and simply solely address how educators monitor and provide summative...
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Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds 2017, Procedia Computer Science Show abstract The application of machine learning and deep learning in sport: predicting NBA players’ performance and popularity 2022, Journal of Information and Telecommunication ...
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4A). Since the number of edges was high, to improve the visualization, we reduced the number of displayed edges with a network backbone extraction algorithm (Coscia and Neffke, 2017), which identified the most statistically significant edges for each node and pruned the rest out. Then, on ...