Difference between revisions of "Project Groups"
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− | {| | + | {| border="1" cellpadding="1" |
− | ! | + | |- style="background-color:#2B3856; color:white; height:50px" |
− | ! | + | ! style="width:100px"| Project Team |
+ | ! style="width:650px"| Project Title/Description | ||
+ | ! style="width:150px"| Project Artifacts | ||
+ | ! style="width:150px"| Project Member | ||
+ | |- | ||
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+ | ||<center>Group 1</center> | ||
+ | [[File:Food maze.jpg|250px|frameless|center]] | ||
+ | || | ||
+ | '''Grocery - Product Maze: Navigating the Products through the maze by Network Visualization''' | ||
+ | |||
+ | In this era of information explosion, this poses challenges in continuing the current conventional way to analyze association rules. Often these conventional methods do not show the underlying complex relationships between different items. Besides that, the conventional interface of the analytical software lack of interactivity between the graphs and the underlying model. | ||
+ | |||
+ | Hence, in this research paper, an alternative way to visualize the association rules is presented. Demonstrations are also included to show interactivity functions are integrated into the application to provide a more seamless process in calibrating the model and visualizing the association rules. The designed application will provide users more control and flexibility. | ||
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− | + | * [[Group01_proposal|Proposal]] | |
− | + | * [[Group01_poster|Poster]] | |
− | + | * [[Group01_application|Application]] | |
− | + | * [[Group01_research_paper| Research Paper]] | |
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− | + | * Jun Haur LOK | |
− | + | * Xingwen WANG | |
− | + | * Shifeng XU | |
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Revision as of 08:25, 21 February 2021
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Project Groups
Please change Your Team name to your project topic and change student name to your own name
Project Team | Project Title/Description | Project Artifacts | Project Member |
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Grocery - Product Maze: Navigating the Products through the maze by Network Visualization In this era of information explosion, this poses challenges in continuing the current conventional way to analyze association rules. Often these conventional methods do not show the underlying complex relationships between different items. Besides that, the conventional interface of the analytical software lack of interactivity between the graphs and the underlying model. Hence, in this research paper, an alternative way to visualize the association rules is presented. Demonstrations are also included to show interactivity functions are integrated into the application to provide a more seamless process in calibrating the model and visualizing the association rules. The designed application will provide users more control and flexibility. |
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