Adaptive data delivery framework for financial time series visualization

Tak Chung Fu; Fu Lai Korris Chung; Chun Fai Lam; Wing Pong Robert Luk; Chak Man Ng

doi:10.1109/ICMB.2005.14

Adaptive data delivery framework for financial time series visualization

Tak Chung Fu, Fu Lai Korris Chung, Chun Fai Lam, Wing Pong Robert Luk, Chak Man Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

Nowadays, financial applications spread over various devices in both e-commerce and m-commerce. 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 necessary for time series data delivery and visualization. In this paper, an adaptive framework of financial time series delivery and visualization is proposed to achieve this goal. The core system adapts the concept of data point importance and data points reordering for time series representation. The application of the proposed framework on stock price time series delivery and visualization is demonstrated in different devices using Web service.

Original language	English
Title of host publication	4th Annual International Conference on Mobile Business, ICMB 2005
Publisher	IEEE
Pages	267-273
Number of pages	7
ISBN (Electronic)	0769523676, 9780769523675
DOIs	https://doi.org/10.1109/ICMB.2005.14
Publication status	Published - 1 Jan 2005
Event	4th Annual International Conference on Mobile Business, ICMB 2005 - Crowne Plaza Darling Harbour, Sydney, Australia Duration: 11 Jul 2005 → 13 Jul 2005

Conference

Conference	4th Annual International Conference on Mobile Business, ICMB 2005
Country/Territory	Australia
City	Sydney
Period	11/07/05 → 13/07/05

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition

More information

10.1109/ICMB.2005.14

Cite this

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title = "Adaptive data delivery framework for financial time series visualization",

abstract = "Nowadays, financial applications spread over various devices in both e-commerce and m-commerce. 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 necessary for time series data delivery and visualization. In this paper, an adaptive framework of financial time series delivery and visualization is proposed to achieve this goal. The core system adapts the concept of data point importance and data points reordering for time series representation. The application of the proposed framework on stock price time series delivery and visualization is demonstrated in different devices using Web service.",

author = "Fu, {Tak Chung} and Chung, {Fu Lai Korris} and Lam, {Chun Fai} and Luk, {Wing Pong Robert} and Ng, {Chak Man}",

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doi = "10.1109/ICMB.2005.14",

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Adaptive data delivery framework for financial time series visualization. / Fu, Tak Chung; Chung, Fu Lai Korris; Lam, Chun Fai et al.
4th Annual International Conference on Mobile Business, ICMB 2005. IEEE, 2005. p. 267-273 1493619.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Nowadays, financial applications spread over various devices in both e-commerce and m-commerce. 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 necessary for time series data delivery and visualization. In this paper, an adaptive framework of financial time series delivery and visualization is proposed to achieve this goal. The core system adapts the concept of data point importance and data points reordering for time series representation. The application of the proposed framework on stock price time series delivery and visualization is demonstrated in different devices using Web service.

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Adaptive data delivery framework for financial time series visualization

Abstract

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ASJC Scopus subject areas

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