Presentation | 1998/12/17 Data Mining Methods in Large Satellite Image Database Koji KATAYAMA, Osamu KONISHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The processing of knowledge discovery in database involves five phase; data selection, data processing, data transformation, data analysis, and interpretation and evaluation, image data mining is deal with the extraction of implicit knowledge, image relationship , or patterns not explicity stored in image database and it belongs to the scientific discovery. In this paper, we focus weather satellite image in many image infomaiton and describe about construction of satellite image database that can search patterns like a series of cloud or change of weather condition , we apply two method , clustering and association rule , in knowledge discovery. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | data mining / clustering / self-organizing map / association rules / satellite image |
Paper # | DE98-34 |
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Committee | DE |
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Conference Date | 1998/12/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Data Mining Methods in Large Satellite Image Database |
Sub Title (in English) | |
Keyword(1) | data mining |
Keyword(2) | clustering |
Keyword(3) | self-organizing map |
Keyword(4) | association rules |
Keyword(5) | satellite image |
1st Author's Name | Koji KATAYAMA |
1st Author's Affiliation | Dept. of Information Science, Faculty of Science, Kochi university() |
2nd Author's Name | Osamu KONISHI |
2nd Author's Affiliation | Dept. of Information Science, Faculty of Science, Kochi university |
Date | 1998/12/17 |
Paper # | DE98-34 |
Volume (vol) | vol.98 |
Number (no) | 486 |
Page | pp.pp.- |
#Pages | 8 |
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