Mining of Closed Frequent Itemsets and Sequential Patterns in Data Streams Using Bit-Vector Based Method
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === Mining a data stream is an important data mining problem with broad applications, such as sensor network, stock analysis. It is a difficult problem because of some limitations in the data stream environment. In the first part of this paper, we propose New-Mome...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/12675863577120809139 |