A Frequent Itemset Mining Algorithm based on Interval Intersection Operation

碩士 === 國立臺灣科技大學 === 資訊管理系 === 103 === Frequent Itemset Mining (FIM) is a crucial technique for data mining. This thesis proposes a new FIM algorithm based on interval and bitmap operations. For each itemset in a dataset, an interval set is used to represent the transactions that contain this itemse...

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Bibliographic Details
Main Author: Vania Utami
Other Authors: Yung-Ho Leu
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/73802658405251649212