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ORCIDBig Data, Volume 13
Volume 13, Number 1, 2025
- Victor Chang
, Péter Kacsuk, Gary B. Wills, Reinhold Behringer:
Introduction to the Special Issue on Big Data and the Internet of Things in Complex Information Systems. 1-2 - Zhengyang Hu, Weiwei Lin, Xiaoying Ye, Haojun Xu, Haocheng Zhong, Huikang Huang, Xinyang Wang:
Generic User Behavior: A User Behavior Similarity-Based Recommendation Method. 3-15 - Shadi A. Aljawarneh, Romesaa Al-Quraan:
Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images. 16-29 - Gergely Kocsis, Imre Varga:
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis. 30-41 - Yi Gao, Dawei Yan, Xiangyu Kong, Ning Liu, Zhiyu Zou, Bixuan Gao, Yang Wang, Yue Chen, Shuai Luo:
A Data-Driven Analysis Method for the Trajectory of Power Carbon Emission in the Urban Area. 42-58 - Haitao Xie, Chengkai Li, Zhiwei Ye, Tao Zhao, Hui Xu, Jiangyi Du, Wanfang Bai:
Cloud Resource Scheduling Using Multi-Strategy Fused Honey Badger Algorithm. 59-72
Volume 13, Number 2, 2025
- Laila Faridoon, Wei Liu, Crawford Spence:
The Impact of Big Data Analytics on Decision-Making Within the Government Sector. 73-89 - Georgios Vranopoulos, Nathan L. Clarke, Shirley Atkinson:
Big Data Confidentiality: An Approach Toward Corporate Compliance Using a Rule-Based System. 90-110 - Fatemeh Ehsani, Monireh Hosseini:
Consumer Segmentation Based on Location and Timing Dimensions Using Big Data from Business-to-Customer Retailing Marketplaces. 111-126 - Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, Claudio A. Ardagna:
Balancing Protection and Quality in Big Data Analytics Pipelines. 127-143 - Zhiyong Wu, Zhida Huang, Nianhua Tang, Kai Wang, Chuanjie Bian, Dandan Li, Vumika Kuraki, Felix Schmid:
Research on Sports Injury Rehabilitation Detection Based on IoT Models for Digital Health Care. 144-160
Volume 13, Number 3, 2025
- Melina Melina, Sukono, Herlina Napitupulu, Norizan Mohamed:
Modeling of Machine Learning-Based Extreme Value Theory in Stock Investment Risk Prediction: A Systematic Literature Review. 161-180 - Jumadil Saputra, Kasypi Mokhtar, Anuar Abu Bakar, Siti Marsila Mhd Ruslan:
Investigating the Co-Movement and Asymmetric Relationships of Oil Prices on the Shipping Stock Returns: Evidence from Three Shipping-Flagged Companies from Germany, South Korea, and Taiwan. 181-196 - Asefeh Asemi, Adeleh Asemi, Andrea Ko:
Investment Recommender System Model Based on the Potential Investors' Key Decision Factors. 197-218 - Pingkan Mayosi Fitriana, Jumadil Saputra, Zairihan Abdul Halim:
The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach. 219-242 - Sajid Yousuf Bhat, Muhammad Abulaish:
A MapReduce-Based Approach for Fast Connected Components Detection from Large-Scale Networks. 243-268
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