A Fast Frequent Pattern Split Approach on Native XML Database for Mining Association Rules

碩士 === 朝陽科技大學 === 資訊管理系碩士班 === 93 === The popularity of XML results in producing huge numbers of XML documents. Thus, native XML databases are developed and designed to store the great quantity of XML documents. However, most techniques of association rule mining only can be applied to transaction d...

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Bibliographic Details
Main Authors: Tsung-Hsien Shen, 沈宗憲
Other Authors: Chin-Feng Lee
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/7a3rcp