Results 81 to 90 of about 2,316 (204)

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

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

Selective Database Projections Based Approach for Mining High-Utility Itemsets

IEEE Access, 2018
High-utility itemset mining (HilIM) is an emerging area of data mining and is widely used. HilIM differs from the frequent itemset mining (FIM), as the latter considers only the frequency factor, whereas the former has been designed to address both ...
Anita Bai, Parag S. Deshpande, Meera Dhabu   +2 more
doaj   +1 more source

Statistical strategies for pruning all the uninteresting association rules [PDF]

, 2003
We propose a general framework to describe formally the problem of capturing the intensity of implication for association rules through statistical metrics.
Casas Garriga, Gemma
core   +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

MINING CONCISE REPRESENTATIONS OF FREQUENT HIGH-UTILITY OCCUPANCY ITEMSETS USING GENERATOR PATTERNS

Tạp chí Khoa học Đại học Đà Lạt
A current trend in data mining is the discovery of frequent high-utility occupancy itemsets (FHUOIs) in quantitative databases. These itemsets capture user preferences and significantly contribute to transaction utility, making them valuable for real ...
Van Hai Duong, Minh Tien Hoang, Chi Tin Truong   +2 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

Psychosocial factors associated with physical activity in people with dementia: A pilot cross‐sectional study

AGING MEDICINE, Volume 7, Issue 5, Page 543-552, October 2024.
Factors significantly associated with physical activity outcomes in people with dementia in the final regression models. The figure highlights that psychosocial factors are associated with different constructs related to physical activity. Only the presence of intrapersonal barriers to physical activity was associated with both total physical activity ...
Nicolas Farina, Uzma Niazi, Riona Mc Ardle, Johanna Eronen, Ruth Lowry, Sube Banerjee   +5 more
wiley   +1 more source

A Framework for High-Accuracy Privacy-Preserving Mining

, 2004
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of data records have been proposed recently.
Agrawal, Shipra, Haritsa, Jayant R.
core   +3 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