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Publication search results
found 199 matches
- 2024
- Mona Ahamd Alghamdi, Abdullah S. Al-Malaise Al-Ghamdi, Mahmoud Ragab:
Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble. Big Data Min. Anal. 7(2): 247-270 (2024) - Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz:
ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph. Big Data Min. Anal. 7(2): 340-356 (2024) - Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin:
Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction. Big Data Min. Anal. 7(2): 512-530 (2024) - Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova:
Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach. Big Data Min. Anal. 7(1): 107-130 (2024) - Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang:
Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms. Big Data Min. Anal. 7(1): 42-54 (2024) - Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang:
IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB. Big Data Min. Anal. 7(1): 29-41 (2024) - Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan:
Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization. Big Data Min. Anal. 7(1): 55-74 (2024) - Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos:
Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage. Big Data Min. Anal. 7(2): 371-398 (2024) - Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang:
KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt. Big Data Min. Anal. 7(2): 547-560 (2024) - Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos:
A Survey on Event Tracking in Social Media Data Streams. Big Data Min. Anal. 7(1): 217-243 (2024) - Shahriar Kaisar, Md. Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Abeshu Diro:
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning. Big Data Min. Anal. 7(2): 294-314 (2024) - Sohail Khan, Mohammad Nauman:
Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers. Big Data Min. Anal. 7(2): 485-499 (2024) - Sunil Kumar:
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business. Big Data Min. Anal. 7(2): 271-293 (2024) - Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella:
Extending OpenStack Monasca for Predictive Elasticity Control. Big Data Min. Anal. 7(2): 315-339 (2024) - Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian:
Unstructured Big Data Threat Intelligence Parallel Mining Algorithm. Big Data Min. Anal. 7(2): 531-546 (2024) - Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo:
Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores. Big Data Min. Anal. 7(1): 156-170 (2024) - Yassine El Moudene, Jaafar Idrais, Rida El Abassi, Abderrahim Sabour:
Gender-Based Analysis of User Reactions to Facebook Posts. Big Data Min. Anal. 7(1): 75-86 (2024) - Abed Mutemi, Fernando Bação:
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review. Big Data Min. Anal. 7(2): 419-444 (2024) - Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui:
An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems. Big Data Min. Anal. 7(2): 399-418 (2024) - Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang:
Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection. Big Data Min. Anal. 7(1): 1-11 (2024) - Saravanan Selvam, Uma Maheswari Balasubramanian:
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks. Big Data Min. Anal. 7(2): 500-511 (2024) - Qiang Sun, Leilei Shi, Lu Liu, Zixuan Han, Liang Jiang, Yan Wu, Yeling Zhao:
A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network. Big Data Min. Anal. 7(2): 357-370 (2024) - Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu:
Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning. Big Data Min. Anal. 7(1): 87-106 (2024) - Mini Han Wang, Lumin Xing, Yi Pan, Feng Gu, Junbin Fang, Xiangrong Yu, Chi Pui Pang, Kelvin Kam Lung Chong, Carol Yim-Lui Cheung, Xulin Liao, Xiaoxiao Fang, Jie Yang, Ruoyu Zhou, Xiaoshu Zhou, Fengling Wang, Wenjian Liu:
AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions. Big Data Min. Anal. 7(2): 445-484 (2024) - Call for Papers: Special Issue on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications. Big Data Min. Anal. 7(1): 244 (2024)
- Call for Papers: Special Issue on Big Data Computing for Cyber Physical Social Intelligence. Big Data Min. Anal. 7(1): 245 (2024)
- Call for Papers: Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications. Big Data Min. Anal. 7(2): 561 (2024)
- Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection. Big Data Min. Anal. 7(2): 562 (2024)
- Call for Papers: Special Issue on AI-Enhanced Big Data Governance. Big Data Min. Anal. 7(2): 563 (2024)
- Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan:
Molecular Generation and Optimization of Molecular Properties Using a Transformer Model. Big Data Min. Anal. 7(1): 142-155 (2024)
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