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Reading: Similar Data Retrieval from Enormous Datasets on ELF/VLF Wave Spectrum Observed by Akebono

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Proceedings Papers

Similar Data Retrieval from Enormous Datasets on ELF/VLF Wave Spectrum Observed by Akebono

Authors:

Y Kasahara ,

Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
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A Hirano,

Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
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Y Takata

Kanazawa University, Kakuma-machi, Kanazawa-shi, Ishikawa, 920-1192, Japan, JP
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Abstract

As the total amount of data measured by scientific spacecraft is drastically increasing, it is necessary for researchers to develop new computation methods for efficient analysis of these enormous datasets. In the present study, we propose a new algorithm for similar data retrieval. We first discuss key descriptors that represent characteristics of the VLF/ELF waves observed by the Akebono spacecraft. Second, an algorithm for similar data retrieval is introduced. Finally, we demonstrate that the developed algorithm works well for the retrieval of the VLF spectrum with a small amount of CPU load.
DOI: http://doi.org/10.2481/dsj.SS_IGY-002
How to Cite: Kasahara, Y., Hirano, A. & Takata, Y., (2010). Similar Data Retrieval from Enormous Datasets on ELF/VLF Wave Spectrum Observed by Akebono. Data Science Journal. 8, pp.PIGY55–PIGY65. DOI: http://doi.org/10.2481/dsj.SS_IGY-002
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Published on 12 Feb 2010.
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