Results 71 to 80 of about 498 (210)
Deteksi Penyakit Kardiovaskular Menggunakan Metode High Utility Rare Itemset Mining [PDF]
, 2021 Penyakit kardiovaskular telah dianggap menjadi salah satu penyakit dengan tingkat kematian yang sangat tinggi di seluruh dunia dibandingkan dengan penyakit yang lain.
Setiawan, Muhammad Nanda
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Unveiling Success Drivers in Gaming: A Machine Learning Study Across Steam, Twitch, and Metacritic
International Journal of Computer Games Technology, Volume 2025, Issue 1, 2025.This study employs machine learning to assess the relative impact of major platforms—Steam, Twitch, and Metacritic—on video game revenue. Through an integrated analysis of three comprehensive datasets comprising commercially successful titles on Steam, key predictors of financial performance were identified.
Jiesi Ma, Michael J. Katchabaw
wiley +1 more source
High-utility action rules mining
, 2022 High utility action rules mining is a data mining task, that aims to generate such rules, that would provide the user with the information of which actions might be the most profitable.
Hrudková, Kateřina
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Data‐Driven Materials Research and Development for Functional Coatings
Advanced Science, Volume 11, Issue 42, November 13, 2024.Functional coatings play a vital role in various industries for their protective and functional properties. However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. This review provides an overview
Kai Xu +8 more
wiley +1 more source
Mining High Average-Utility Itemsets
, 2012 [[abstract]]The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It
Hong, Tzung-Pei; Lee, Cho-Han; Wang, Shyue-Liang
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IET Generation, Transmission &Distribution, Volume 18, Issue 13, Page 2313-2324, July 2024.This paper proposes an electric vehicle (EV) load diagnosis algorithm considering data privacy. The validity of the algorithm in this paper is verified by using the real collected EV load data. Abstract Accurate forecasting of electric vehicle (EV) load is essential for grid stability and energy management. EV load forecasting is influenced by multiple
Ruien Bian +3 more
wiley +1 more source
Mining High Utility Itemsets with Regular Occurrence
Journal of ICT Research and Applications, 2016 High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These itemsets
Komate Amphawan +3 more
doaj +1 more source
Mining Top-K high utility itemset using bio-inspired algorithms
, 2023 High utility itemset (HUI) mining is a necessary research problem in the field of knowledge discovery and data mining. Many algorithms for Top-K HUI mining have been proposed.
Vo, Bay +3 more
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Reconstructing thicket clump formation using association rules analysis
Journal of Vegetation Science, Volume 35, Issue 3, May/June 2024.Association rules (or market basket) analysis was effective in eliciting common associations between species and size classes across different stages of thicket clump formation in a savanna. Vachellia karroo established alone in open grassland, whereas a suite of clump‐initiating species recruited in close association with large V.
Rhys Nell +2 more
wiley +1 more source
A SURVEY ON ITEMSET MINING FOR LARGE TRANSACTION DATABASE
, 2016 Mining itemsets from the databases is an important data mining task.Frequent itemset mining refers to the mining of set of items occur frequently in the database.Utility itemset mining refers to the discovery of items with high utilities.
Ancy Jose*, Dr. John T Abraham
core +1 more source