Project Groups
ISSS608 Visual Analytics and Applications
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Please change Your Team name to your project topic and change student name to your own name.
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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Group01 |
Title Abstract: Not more than 300 words |
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Group02 |
Title Abstract: Not more than 300 words |
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Title Abstract: Not more than 300 words |
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Group04 |
Title Abstract: Not more than 300 words |
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Visual Application for Time Series Clustering Time series clustering is to partition time series data into groups based on similarity or distance, so that time series in the same cluster are similar. Time-series datasets contain valuable information that can be obtained through pattern discovery. Clustering is a common solution performed to uncover these patterns on time-series datasets. It represents the time-series cluster structures as visual images (visualization of time-series data) can help users quickly understand the structure of data, clusters, anomalies, and other regularities in datasets. Time series clustering has a wide variety of strategies and a series specific to Dynamic Time Warping (DTW) distance. The dtwclust is a package of R statistical software so that have many of the algorithm implemented in this package that are specifically tailored to DTW. A great amount of effort went into implementing them as efficiently as possible, and the functions were designed with flexibility and extensibility in mind. As such, the dtwclust is a package with its functions comparable to, if not more superior than the expensive commercial-of-the-shelves analytical toolkit such as SAS Enterprise Miner. However, till date, the usage of dtwclust package tends to be confined within academic research as it required intermediate R programming skill. The project aims to provide a user-friendly interface to dtwclust package by using R Shiny framework. The user-friendly interface design allows casual users to import data, manage, explore, calibrate, visualise and evaluate clusters without having to type a single line of code. In addition to that, the application aims to incorporates graph visualization to enhance data exploration, to aid in the interpretability of the outputs of the clusters and to investigate the similarities or dissimilarities within the cluster. |
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Gee-Whiz: Singapore and the suppliers that make her tick Singapore is recognized worldwide for its efficient and clean public service. Ranked 6th in the world in a corruption perceptions index by Transparency International, the incidence of public sector corruption here remains one of the lowest in the world. Efforts to maintain openness and transparency in all government activities can be witnessed throughout the established systems and processes. GeBIZ is Singapore’s public eProcurement portal for suppliers to bid on tenders published by various agencies and ministries. While public agencies enjoy the economies of scale which come with the electronic purchase of goods and services, suppliers have broader access to government tenders and quotations. GeBIZ encourages greater transparency together with fair and open market competition as all procurement operations are published online. Using network analysis and other visualization techniques, we will explore the relationships between suppliers and the agencies with which they trade. Are there unknown biases in the tendering process which favors certain suppliers over others? Are there strong relationships between certain ministries and suppliers for specific types of projects? Are some suppliers providing such high value services to the government as to pose a concentration risk? Join us as we find out. |
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Group07 |
Corn: The A-maize-ing Crop Abstract: Not more than 300 words |
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Visualizing the Future of Crowd Funding with 余额宝 Yu’e Bao (余额宝) is an investment product offered by Alipay (支付宝), a mobile and online payment platform established by China’s multinational conglomerate Alibaba Group. In June 2013, Alibaba Group launched Yu’e Bao in collaboration with Tianhong Asset Management Co., Ltd. to form the first internet fund in China. Since then, Yu’e Bao has become the nation’s largest money market fund and by Feb 2018 has US$251 billion under its management. In Chinese, Yu’e Bao represents “Leftover Treasure”, where Alipay users can deposit their cash, leftover from online shopping, into this investment product. The money will be invested via a money market fund with interest paid on a daily basis, with no minimum amount and no exit charges. While major banks offer 0.35% annual interest on deposits, Yu’e Bao may offers user 6% interest with the convenience and freedom to deposit and withdraw anytime via mobile app, thus making Yu’e Bao extremely popular among users with leftover cash. |
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Group01 |
Title Abstract: Not more than 300 words |
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Group01 |
Title Abstract: Not more than 300 words |
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Group01 |
Title Abstract: Not more than 300 words |
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Group01 |
Title Abstract: Not more than 300 words |
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