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- research-articleFebruary 2024
Efficient approach for mining high-utility patterns on incremental databases with dynamic profits
AbstractHigh-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 ...
- research-articleNovember 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.2023.120697AbstractPeriodic 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 ...
- research-articleMay 2023
Pre-large based high utility pattern mining for transaction insertions in incremental database
AbstractHigh 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 ...
- research-articleJanuary 2022
Mining weighted sequential patterns in incremental uncertain databases
- Kashob Kumar Roy,
- Md Hasibul Haque Moon,
- Md Mahmudur Rahman,
- Chowdhury Farhan Ahmed,
- Carson Kai-Sang Leung
Information Sciences: an International Journal (ISCI), Volume 582, Issue CPages 865–896https://doi.org/10.1016/j.ins.2021.10.010Highlights- An efficient algorithm named FUWS, to mine weighted uncertain sequences.
- The ...
Due to the rapid development of science and technology, the importance of imprecise, noisy, and uncertain data is increasing at an exponential rate. Thus, mining patterns in uncertain databases have drawn the attention of researchers. ...
- ArticleMay 2021
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure
Advances in Knowledge Discovery and Data MiningPages 29–41https://doi.org/10.1007/978-3-030-75765-6_3AbstractIn this uncertain world, data uncertainty is inherent in many applications and its importance is growing drastically due to the rapid development of modern technologies. Nowadays, researchers have paid more attention to mine patterns in uncertain ...
- research-articleAugust 2018
Mining productive-periodic frequent patterns in tele-health systems
Journal of Network and Computer Applications (JNCA), Volume 115, Issue CPages 33–47https://doi.org/10.1016/j.jnca.2018.04.014AbstractRecently, tele-health systems have gained attention from vast research fields because they facilitate remote monitoring of patients (e.g. vital sign data, physical activities, etc.) by utlizing various technologies such as body sensor ...
- research-articleJune 2016
Erasable itemset mining over incremental databases with weight conditions
Engineering Applications of Artificial Intelligence (EAAI), Volume 52, Issue CPages 213–234https://doi.org/10.1016/j.engappai.2016.03.003Erasable itemset mining is an approach for mining itemsets with low profits from large-scale product databases in order to solve financial crises of plants in manufacturing industries. Previous erasable itemset mining methods deal with static product ...