Presentation 1998/12/17
Data Mining Methods in Large Satellite Image Database
Koji KATAYAMA, Osamu KONISHI,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee DE
Conference Date 1998/12/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
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
Date of Issue