Results 61 to 70 of about 15,313,538 (164)

Extraction of Safe Operation Rules and Identification of Vulnerable Nodes in Power Grids Based on Time‐Series Association Analysis

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a data‐driven framework for operational safety rule extraction and vulnerable node identification in power grids with high renewable penetration. The effectiveness of the proposed method is verified on the IEEE 39‐bus system for static security assessment. ABSTRACT High renewable energy penetration introduces significant uncertainty
Zhilin Huang, Zheng Xu, Yudun Li, Yanqi Hou, Facai Xing, Zhi Gao, Yiping Yu   +6 more
wiley   +1 more source

From Prediction to Prevention: Using Text Mining and Explainable Machine Learning for Urban Bus Accident Analytics

Risk Analysis, Volume 46, Issue 1, January 2026.
ABSTRACT Urban bus accidents present major safety and operational challenges, particularly in densely populated metropolitan areas. This study develops a machine learning‐based analytical framework to identify, quantify, and interpret the factors associated with severe bus accidents.
Bowei Chen, Yufei Huang, Yu Zheng, Xiaofeng Liu   +3 more
wiley   +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

Mining High Utility Itemsets Based on Pattern Growth without Candidate Generation

Mathematics, 2020
Mining high utility itemsets (HUIs) has been an active research topic in data mining in recent years. Existing HUI mining algorithms typically take two steps: generating candidates and identifying utility values of these candidate itemsets.
Yiwei Liu, Le Wang, Lin Feng, Bo Jin
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

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

RPriori: A Divide‐and‐Conquer Frequent Itemset Mining Algorithm With Improved Time‐Space Efficiency on Large Transactional Data

Complexity, Volume 2026, Issue 1, 2026.
Frequent itemset mining (FIM) is a fundamental task in data mining with applications ranging from market basket analysis and recommendation systems to fraud detection and bioinformatics. However, mining frequent itemsets from massive datasets remains computationally challenging due to high execution time and memory consumption.
Rahat Ali Shah, Jamal Uddin, Hameed Hussain, Khaistah Khan, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Shonak Bansal   +7 more
wiley   +1 more source

Other title: House Bill 2110 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2003
application/pdf; "February 19, 2003."; Testimony before the Kansas Legislature, House Committee On Taxation, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony in opposition to House Bill 2110.
Springe, David.
core   +1 more source

Somatic Multimorbidity in Adults With Severe Mental Illness Relative to a General‐Population Reference in China: Implications for Integrated Community Care

Health &Social Care in the Community, Volume 2026, Issue 1, 2026.
Background Middle‐aged and older adults with severe mental illness (SMI) often experience a higher burden of multiple chronic conditions compared with the general population. Despite this, limited research has explored how these conditions cluster and interact, particularly in social settings where integrated mental and physical healthcare remains ...
Yue-Hui Yu, Ya-Xuan Mao, Quan Lu
wiley   +1 more source

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