Interactive Mining of Frequent Itemsets in Data Streams

碩士 === 逢甲大學 === 資訊工程所 === 96 === Mining frequent patterns in a data stream is very challenging for the high complexity of continuous exploration of unbounded data with bounded memory. Previous approaches usually assume a fixed minimum support and an unchangeable time interval in mining frequent item...

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Bibliographic Details
Main Authors: Gi-Ping Liu, 劉吉評
Other Authors: Ming-Yen Lin
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/56236349203486602443