Web-based Atmospheric Nucleation Data Management and Visualization

  • Authors:
  • Kai Zhu;Huaguang Song;Jinzhu Gao

  • Affiliations:
  • -;-;-

  • Venue:
  • ICNDC '11 Proceedings of the 2011 Second International Conference on Networking and Distributed Computing
  • Year:
  • 2011

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Abstract

Nucleation phenomena play a crucial role in plenty of atmospheric and technological processes. Being short of efficient visual data exploration tools has given rise to trouble understanding atmospheric nucleation processes. In this paper, we utilize the knowledge of hyper tree visualization to enhance our previously developed web-based visualization and analysis tool that allows remote users to effectively mine the wealth of particle-based nucleation simulation data. Our goal is to speed up knowledge discovery and improve users' productivity through effective visual data mining techniques and more friendly user interface design. Meanwhile, we developed a feasible parallel computing solution to overcome the slow response due to expensive large data pre-processing.