Results 61 to 70 of about 2,974 (185)

A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair, Salama A. Mostafa, Aida Mustapha, Mohamad Aizi Salamat, Mustafa Hamid Hassan, Mazin Abed Mohammed, Fahad Taha AL‐Dhief   +6 more
wiley   +1 more source

Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm

Advances in Civil Engineering, Volume 2025, Issue 1, 2025.
The coal industry has always been a typically high‐risk industry with frequent accidents and extremely adverse impacts. Cases of accidents in coal mine ventilation systems serve as a concentrated demonstration of accident hazards and hold significant value for identifying key risk factors that may induce disasters in coal mine ventilation systems. This
Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin, Manoj Khandelwal   +4 more
wiley   +1 more source

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

Reductions for Frequency-Based Data Mining Problems

, 2017
Studying the computational complexity of problems is one of the - if not the - fundamental questions in computer science. Yet, surprisingly little is known about the computational complexity of many central problems in data mining. In this paper we study
Miettinen, Pauli, Neumann, Stefan
core   +1 more source

Enhancing Interpretability: A Hierarchical Belief Rule‐Based (HBRB) Method for Assessing Multimodal Social Media Credibility

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
User and artificial intelligence generated contents, coupled with the multimodal nature of information, have made the identification of false news an arduous task. While models can assist users in improving their cognitive abilities, commonly used black‐box models lack transparency, posing a significant challenge for interpretability.
Peng Wu, Jiahong Lin, Zhiyuan Ma, Huiwen Li, Mohammad Rezwan Habib   +4 more
wiley   +1 more source

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, Xuelian Xiao, Linjing Wang, Ming Lou, Fangming Wang, Changheng Li, Hui Ren, Xue Wang, Keke Chang   +8 more
wiley   +1 more source

arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]

Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün, Kurt Hornik, Michael Hahsler   +2 more
core   +1 more source

The Coron System [PDF]

, 2010
Coron is a domain and platform independent, multi-purposed data mining toolkit, which incorporates not only a rich collection of data mining algorithms, but also allows a number of auxiliary operations. To the best of our knowledge, a data mining toolkit
Kaytoue, Mehdi, Marcuola, Florent, Napoli, Amedeo, Szathmary, Laszlo, Villerd, Jean   +4 more
core   +2 more sources

Electric vehicle load forecasting based on convolutional networks with attention mechanism and federated learning method

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, Long Wang, Yadong Liu, Zhou Dai   +3 more
wiley   +1 more source

AN EFFICIENT ALGORITHM FOR MINING HIGH UTILITY ITEMSETS

Tạp chí Khoa học
High utility itemsets (HUIs) mining is the finding of itemsets that satisfy a user-defined minimum utility threshold. Many successful studies in this field have been carried out, however they are all reliant on Tidset techniques, which records the ...
Nguyen Thi Thanh Thuy*, Nguyen Van Le, Manh Thien Ly
doaj   +1 more source