A Prefix Tree Base Approach for Mining Surprising Patterns Efficiently

碩士 === 國立臺灣師範大學 === 資訊教育研究所 === 91 === In the past, the progress of mining temporal patterns, we used to base on the frequency of the temporal patterns occur to decide whether it’s important or not. If the patterns occurrences of the temporal data are smaller than the minimum support, the...

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Bibliographic Details
Main Authors: Hsiao-hung Lin, 林孝鴻
Other Authors: 柯佳伶
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/85918393297126254047