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February 2024
Efficient approach for mining high-utility patterns on incremental databases with dynamic profits
Knowledge-Based Systems (KNBS), Volume 282, Issue Chttps://doi.org/10.1016/j.knosys.2023.111060
Abstract
High-utility itemset mining (HUIM) is one of the heavily studied fields of data mining, which is due to its high compatibility with real-world applications. HUIM is a process of extracting a complete set of interesting patterns by considering the ...
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November 2023
An advanced approach for incremental flexible periodic pattern mining on time-series data
Expert Systems with Applications: An International Journal (EXWA), Volume 230, Issue Chttps://doi.org/10.1016/j.eswa.2023.120697
Abstract
Periodic pattern mining is a topic for mining periodic event patterns with sufficient confidence. The resulted patterns are often used to predict future events because they have established confidence that their periodicity will be maintained ...
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May 2023
Pre-large based high utility pattern mining for transaction insertions in incremental database
Knowledge-Based Systems (KNBS), Volume 268, Issue Chttps://doi.org/10.1016/j.knosys.2023.110478
Abstract
High utility pattern mining has been actively researched and applied to diverse applications because it can process the database by considering the quantity and importance of items. However, traditional high utility pattern mining methods aim to ...
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