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https://www.researchgate.net/profile/Robert_Luk/publication/220269724_Incremental_stock_time_series_data_delivery_and_visualization/links/53f4496a0cf2155be354faaa.pdf
1 Incremental Stock Time Series Data Delivery and Visualization Tak-chung Fu1,2,*, Fu-lai Chung1, Pui-ying Tang1, Robert Luk1 and Chak-man Ng2 1Dept. of Computing, Hong Kong Polytechnic University ...
https://www.researchgate.net/publication/220269724_Incremental_stock_time_series_data_delivery_and_visualization
The application of the proposed framework on stock price time series delivery and visualization is demonstrated in different devices using Web service.
https://dl.acm.org/doi/10.1145/1099554.1099626
Home Conferences CIKM Proceedings CIKM '05 Incremental stock time series data delivery and visualization. ARTICLE . Incremental stock time series data delivery and visualization. Share on. Authors: Tak-chung Fu. The Hong Kong Polytechnic University, Hunghom, Hong Kong & HKIVE (Chai Wan), Hong Kong .
https://www.academia.edu/14680074/Incremental_stock_time_series_data_delivery_and_visualization
Incremental stock time series data delivery and visualization
https://bibtex.github.io/CIKM-2005-FuCTLN.html
Tak-Chung Fu, Fu-Lai Chung, Pui-ying Tang, Robert Wing Pong Luk, Chak-man Ng Incremental stock time series data delivery and visualization CIKM, 2005. CIKM 2005 DBLP Scholar ACM DL DOI Full names Links ISxN
https://dl.acm.org/doi/10.1016/j.engappai.2008.01.005
Time series visualization is a fundamental task in most financial applications. A framework that can reduce the dimensionality of the time series data, sufficiently accurate so that it can capture the actual shape of the time series but, at the same time, salient points will not be smoothed out can take advantage of charting the raw time series data.Author: FuTak-chung, ChungFu-lai, KwokKa-yan, NgChak-man
https://www.sciencedirect.com/science/article/pii/S0952197608000183
Current tools for visualizing time series include: (1) cluster and calendar-based visualization tool (van Wijk and van Selow, 1999) which obtains chunks of data with a given interval and then clusters them accordingly and (2) spiral visualization tool (Weber et al., 2001) which maps the periodic section of time series into a ring. These two tools are focused on periodic time series and a fixed …Author: Tak-chung Fu, Fu-lai Chung, Ka-yan Kwok, Chak-man Ng
https://ieeexplore.ieee.org/document/1493619/
One of the major tasks in this kind of application is viewing the historical price movement of a stock for the market players before making any decision. However, due to the divergence of the configurations among different devices and platforms, adaptation is …Author: Tak-chung Fu, Fu-lai Chung, Chun-fai Lam, Robert Luk, Chak-man Ng
https://machinelearningmastery.com/time-series-data-visualization-with-python/
6 Ways to Plot Your Time Series Data with Python Time series lends itself naturally to visualization. Line plots of observations over time are popular, but there is a suite of other plots that you can use to learn more about your problem. The more you learn about your data, the more likely you are to develop a better forecasting model.
https://link.springer.com/chapter/10.1007/11881599_67
Abstract. Subsequence searching is a non-trivial task in time series data analysis and mining. In recent years, different approaches are published to improve the performance of subsequence searching which based on index the time series and lower bound the Euclidean distance.Author: Tak-chung Fu, Hak-pun Chan, Fu-lai Chung, Chak-man Ng
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