Performance Speed Up of Parallel Association Rule Mining by De-Clustering Methods

碩士 === 國立高雄第一科技大學 === 資訊管理所 === 90 === Data mining technologies are prolific in contemporary applications to explore versatile and previously untapped knowledge for supporting decision makers. Owing to the ways of obtaining data are versatile in this new information era, the counts of data and dim...

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Bibliographic Details
Main Authors: Pey-Yen Chen, 陳姵吟
Other Authors: Frank S. C. Tseng
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/35829266405993260832