Results 61 to 70 of about 530 (210)

FTKHUIM: A Fast and Efficient Method for Mining Top-K High-Utility Itemsets

IEEE Access, 2023
High-utility itemset mining (HUIM) is an important task in the field of knowledge data discovery. The large search space and huge number of HUIs are the consequences of applying HUIM algorithms with an inappropriate user-defined minimum utility threshold
Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Le V. Nguyen, Unil Yun, Vaclav Snasel, Bay Vo   +8 more
doaj   +1 more source

Correlation Analysis of Influencing Factors of Autonomous Vehicle Accidents Based on Improved Apriori Algorithm

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
The purpose of this study was to explore the risk factors for autonomous vehicle (AV) crashes and their interdependencies. A total of 659 AV crash data were collected between 2018 and July 2024 from AV crash reports published by the California Department of Motor Vehicles.
Tao Wang, Wenzhi Tang, Juncong Chen, Wenwu Chen, Mohammad Rezwan Habib   +4 more
wiley   +1 more source

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
core  

Identifying the Focus Word in Natural Language Questions Based on Association Rules

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Knowledge base‐based intelligent question‐answering systems have insufficient understanding of the questions. In the early stages of research, it is effective in most cases that the existing natural language question‐understanding methods can answer questions by connecting entities and relationships when ignoring the identification of focus words ...
Xin Hu, Xiaofeng Ren, Jian Zheng, Jiangli Duan, Sulan Zhang, Richard Murray   +5 more
wiley   +1 more source

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds

IEEE Access, 2017
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
doaj   +1 more source

EXPLOIT MINING HIGH UTILITY ITEMSETS WITH NEGATIVE UNIT PROFITS FROM VERTICALLY DISTRIBUTED DATABASES

Tạp chí Khoa học Đại học Đà Lạt, 2020
High Utility Itemset (HUI) mining is an important problem in the data mining literature that considers the utilities for businesses of items (such as profits and margins) that are discovered from transactional databases.
Cao Tùng Anh, Ngô Quốc Huy, Võ Hoàng Khang   +2 more
doaj   +1 more source

Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning

Computational Intelligence, Volume 41, Issue 4, August 2025.
ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by human users, do not create or reproduce discrimination or bias and do not leak sensitive information ...
Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie‐José Huguet, Mohamed Siala   +4 more
wiley   +1 more source

Metaheuristics for Frequent and High-Utility Itemset Mining

, 2019
Metaheuristics are often used to solve combinatorial problems. They can be viewed as general purpose problem-solving approaches based on stochastic methods, which explore very large search spaces to find near-optimal solutions in a reasonable time.
Djenouri, Youcef, Philippe Fournier-Viger, Youcef Djenouri, Lin, Jerry Chun Wei, Belhadi, Asma, Asma Belhadi, Jerry Chun-Wei Lin, Fournier-Viger, Philippe   +7 more
core   +1 more source

An Efficient Algorithm for Mining Top-k High-On-Shelf-Utility Itemsets with Positive/Negative Profits of Local/Global Minimum Count

Engineering Proceedings
High-utility itemset mining (HUIM) utilizes the threshold value to extract HUI from the transactional database. However, it is difficult to define an optimal threshold value, since it depends on the domain knowledge of the application.
Ye-In Chang, Po-Chun Chuang, Yu-Hao Liao, Po-Yu Hu, Ting-Wei Chen   +4 more
doaj   +1 more source

Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation

Complexity, 2021
High Utility Itemset Mining (HUIM) is one of the most investigated tasks of data mining. It has broad applications in domains such as product recommendation, market basket analysis, e-learning, text mining, bioinformatics, and web click stream analysis ...
Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim   +3 more
doaj   +1 more source