An efficient vertical-Apriori Mapreduce algorithm for frequent item-set mining
Algorithms such as OPUS and Apriori-based Mapreduce for enhancing the efficiency of mining frequent item-set for pattern recognition application from transactional dataset have been proposed in the literature. Most of these algorithms are, however, evaluated offline on relatively small data size. Wh...
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| Published in: | 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA) pp. 108 - 112 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.06.2015
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| Subjects: | |
| Online Access: | Get full text |
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