An Efficient Algorithm for Proportionally Fault-tolerant Data Mining

碩士 === 國立東華大學 === 資訊工程學系 === 92 === Abstract Frequent pattern mining problem has been studying for several years, while few works discuss on fault-tolerant pattern mining. Fault-tolerant data mining extracts more interesting information from real world data which may be polluted by noise. Howe...

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Bibliographic Details
Main Authors: Yu-tzu Lin, 林鈺慈
Other Authors: Guanling Lee
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/95270366119051968719