Gestalt of an Approach for Multidimensional Data Mining on Concept Taxonomy Forest to Discover Association Patterns with various Data Granularities

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/46505

DC Field	Value	Language
dc.contributor	IEEE Computer Society	en_US
dc.creator	姜國輝	zh_TW
dc.date	2007-10	en_US
dc.date.accessioned	2010-10-06T03:35:42Z	-
dc.date.available	2010-10-06T03:35:42Z	-
dc.date.issued	2010-10-06T03:35:42Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/46505	-
dc.language.iso	en_US	-
dc.relation	Proceedings of the 19th Annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI-07)	en_US
dc.title	Gestalt of an Approach for Multidimensional Data Mining on Concept Taxonomy Forest to Discover Association Patterns with various Data Granularities	en_US
dc.type	conference	en
dc.identifier.doi	10.1109/ICTAI.2007.175	en_US
dc.doi.uri	http://dx.doi.org/10.1109/ICTAI.2007.175	en_US
item.fulltext	No Fulltext	-
item.openairetype	conference	-
item.cerifentitytype	Publications	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.grantfulltext	none	-
item.languageiso639-1	en_US	-
Appears in Collections:	會議論文

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