Zobrazeno 1 - 10
of 1 500
pro vyhledávání: '"Lin, Jerry Chun Wei"'
Customer churn, particularly in the telecommunications sector, influences both costs and profits. As the explainability of models becomes increasingly important, this study emphasizes not only the explainability of customer churn through machine lear
Externí odkaz:
http://arxiv.org/abs/2410.15827
In rapidly evolving e-commerce industry, the capability of selecting high-quality data for model training is essential. This study introduces the High-Utility Sequential Pattern Mining using SHAP values (HUSPM-SHAP) model, a utility mining-based acti
Externí odkaz:
http://arxiv.org/abs/2410.07282
Pre-trained vision-language models (VLMs) are highly adaptable to various downstream tasks through few-shot learning, making prompt-based anomaly detection a promising approach. Traditional methods depend on human-crafted prompts that require prior k
Externí odkaz:
http://arxiv.org/abs/2406.18197
Reconstruction networks are prevalently used in unsupervised anomaly and Out-of-Distribution (OOD) detection due to their independence from labeled anomaly data. However, in multi-class datasets, the effectiveness of anomaly detection is often compro
Externí odkaz:
http://arxiv.org/abs/2406.15396
With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social development and progress. Traditional education faces challenges such a
Externí odkaz:
http://arxiv.org/abs/2311.13160
Medical internet of things leads to revolutionary improvements in medical services, also known as smart healthcare. With the big healthcare data, data mining and machine learning can assist wellness management and intelligent diagnosis, and achieve t
Externí odkaz:
http://arxiv.org/abs/2305.01252
Autor:
Ahmed, Fawad, Rehman, Muneeb Ur, Ahmad, Jawad, Khan, Muhammad Shahbaz, Boulila, Wadii, Srivastava, Gautam, Lin, Jerry Chun-Wei, Buchanan, William J.
Publikováno v:
(2022) ACM Trans. Multimedia Comput. Commun. Appl
With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encrypting large-sized colour images in their original dimension generally
Externí odkaz:
http://arxiv.org/abs/2211.03662
As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e.g., profit and risk). HUIM has been widely applied in many application scenarios, such as market analysis, medical de
Externí odkaz:
http://arxiv.org/abs/2208.12551
Publikováno v:
In Information Fusion January 2025 113
