Efficient approach of recent high utility stream pattern mining with indexed list structure and pruning strategy considering arrival times of transactions

DOI10.1016/j.ins.2020.03.030zbMath1459.68174OpenAlexW3015232492MaRDI QIDQ2023245

Hyoju Nam, Unil Yun, Jerry Chun- Wei Lin, Eunchul Yoon

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.03.030

zbMATH Keywords

data miningstream data miningdamped window modelhigh-utility patternspattern pruning

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

An efficient approach for mining maximized erasable utility patterns ⋮ Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments

Cites Work

• Mining frequent items in data stream using time fading model
• Efficiently mining uncertain high-utility itemsets

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