Completion of Quantitative Missing Values Using Principal Component Analysis Method

碩士 === 元智大學 === 資訊管理研究所 === 88 === Missing value is an important issue for the analysts during the process of data mining process. The problem is what kind of methods will be suitable to complete those missing values. A current approach filling the missing values in decision trees is usin...

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Bibliographic Details
Main Authors: Choa, syie-yi, 趙士儀
Other Authors: Chien-Lung Chan
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/19881724073002520891