Parallel Incremental Mining of Regular-Frequent Patterns from WSNs Big Data
Efficient regular-frequent pattern mining from sensors-produced data has become a challenge. The large volume of data leads to prolonged runtime, thus delaying vital predictions and decision makings which need an immediate response. So, using big data platforms and parallel algorithms is an appropri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahrood University of Technology
2023-11-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | https://jad.shahroodut.ac.ir/article_3033_5d560ccdd58e2aa4704b74bb6fe347b2.pdf |