HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04436-w.pdf
Reference47 articles.
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4. Yao H, Hamilton HJ, Butz CJ (2004) A foundational approach to mining itemset utilities from databases. In: SIAM, pp 482–486
5. Ahmed CF, Tanbeer SK, Jeong B-S (2010) Mining high utility web access sequences in dynamic web log data. In: International conference on software engineering, artificial intelligence, networking and parallel/distributed computing. SNPD ’10, pp 76–81
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1. Efficient mining of concise and informative representations of frequent high utility itemsets;Engineering Applications of Artificial Intelligence;2023-11
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