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Research Publication and Presentation |
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Analysis and Prediction of the Typhoon from an Informatics Perspective
Analysis and prediction of the typhoon has been intensively studied by
a number of meteorologists because of the huge impact of the typhoon
to the society. We study the same issue from a different viewpoint --
from an informatics perspective. Our goal is to discover relevant knowledge
for typhoon analysis and prediction by means of
various computational tools that have been developed in the
informatics community. Our research takes advantage of the large
collection of typhoon data, especially the satellite images of the
typhoon, with the application of multimedia data mining methods in the
hope of discovering hidden regularities and anomalies in the data
collection using data mining algorithms such as principal component
analysis, K-means clustering, and self-organizing map. In this paper,
we summarize our approaches, achievements and open problems, with the
brief introduction of our hand-crafted system, IMET (Image Mining
Environment for Typhoon analysis and prediction).
Citation
Asanobu KITAMOTO,
"Analysis and Prediction of the Typhoon from an Informatics Perspective",
Proceedings of the 8th International Workshop on Academic Information Networks and Systems (WAINS),
pp. 43-52,
2001-10
BibTeX Format
@InProceedings{ k:wains8,
author = {Asanobu KITAMOTO},
title = {Analysis and Prediction of the Typhoon from an Informatics Perspective},
booktitle = {Proceedings of the 8th International Workshop on Academic Information Networks and Systems (WAINS)},
pages = {43-52},
year = 2001,
month = 10,
doi = {},
note = {},
}
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