Abstract
The amount of earth environmental data has increased explosively because of recent advances in observational techniques. However, such valuable data has not been used adequately because researchers cannot handle the volume.
In this study, we collaborated closely with some researchers in the field and developed a support system for analyzing various kind of natural phenomena that have been difficult to analyze in the past.
This was enabled by developing an analyzing toolkit for a huge amount of earth environmental data using the data mining technique, and developing an easy-to-use interface for non-computational researchers.
Moreover, we discuss some new knowledge that was acquired during the development of this system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
CEOP Homepage, http://www.ceop.net/
National Centers for Environmental Prediction , http://ncep.noaa.gov/
Wallce, J.M., Gutzler, D.S.: Teleconections in the geopotential height field during the Northern hemisphere winter. Mon. Wea. Rev. 109, 785–812 (1981)
Taniguchi, K., Koike, T., Ikoma, E., Kitsuregawa, M.: The research about the inclination of Summer Indian Monsoon using integrated data set. Jounal of the Society of Civil Engineering 48 (Febraury 2004)
Webster, P.J., Magana, V.O., Palmer, T.N., Shukula, J., Thomas, R.A., Yanai, M., Yasunari, T.: Monsoons: Process, predictability, and the prospects for prediction. J. Geophys. Res. 03, 451–510 (1998)
Chelliah, M., Arkin, P.: Large-scale variability of monthly longwave radiation anomalies over the global tropics. J. Climate 5, 371–389 (1992)
Schiffer, R.A., Rossow, W.B.: The International Satellite Cloud Climatology Project (ISCCP): The first project of the World Climate Research Program. Bull. Amer. Meteor. Soc. 64, 779–784 (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ikoma, E., Taniguchi, K., Koike, T., Kitsuregawa, M. (2005). Development of a Data Mining Application for Huge Scale Earth Environmental Data Archives. In: Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2005. Lecture Notes in Computer Science, vol 3433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31970-2_14
Download citation
DOI: https://doi.org/10.1007/978-3-540-31970-2_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25361-7
Online ISBN: 978-3-540-31970-2
eBook Packages: Computer ScienceComputer Science (R0)