Progressive time series visualization in a mobile environment

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

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Beside their original functions, mobile devices are now enabled with increasing computational power and wireless communication technology that can facilitate many different applications. One valuable application is about the mobile access of financial data and a major task involved is to provide the historical stock price movement so that the market players can make appropriate investment decisions. However, due to the limitations of this new environment (e.g. screen size, bandwidth for data exchange, storage and computational power), adaptation is needed for time series visualization. In this paper, a progressive time series visualization method, with additional compression ability, for the mobile environment is proposed. The proposed method is based on a perceptually important point (PIP) identification scheme so that the time series data points can be disseminated in the order of importance for the changing (data access) requirements. The application of the proposed method to stock price time series visualization in mobile devices is demonstrated.
Original languageEnglish
Pages (from-to)662-667
Number of pages6
JournalProceedings - International Symposium on Computers and Communications
Volume2
Publication statusPublished - 1 Dec 2004
EventProceedings - ISCC 2004, Ninth International Symposium on Computers and Communications - Alexandria, Egypt
Duration: 28 Jun 20041 Jul 2004

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Mathematics(all)
  • Computer Science Applications
  • Computer Networks and Communications

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