Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table
Mining frequent itemsets over transaction data streams is critical for many applications, such as wireless sensor networks, analysis of retail market data, and stock market predication. The sliding window method is an important way of mining frequent itemsets over data streams. The speed of the slid...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2014-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868462.pdf |