| Autor: |
Muhang LI, Meng HAN, Zhiqiang CHEN, Hongxin WU, Xilong ZHANG |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 2, Pp 257-265 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1007-9432 |
| DOI: |
10.16355/j.cnki.issn1007-9432tyut.2022.02.009 |
| Popis: |
A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction merging method are used in each window to effectively reduce the cost of database scanning. Using efficient pruning techniques and effective closed itemset detection methods can prune a large number of low-utility itemsets and non-closed itemsets. A large number of experimental results show that the proposed algorithm is more effective in memory and time than previous state-of-the-art algorithm CHUI_DS. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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