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ORCIDBig Data Mining and Analytics, Volume 7
Volume 7, Number 1, 2024
- Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang:
Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection. 1-11 - Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun:
QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism. 12-28 - Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang:
IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB. 29-41 - Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang:
Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms. 42-54 - Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan:
Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization. 55-74 - Yassine El Moudene, Jaafar Idrais, Rida El Abassi
, Abderrahim Sabour:
Gender-Based Analysis of User Reactions to Facebook Posts. 75-86 - 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. 87-106 - 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. 107-130 - Renwu Yan, Yang Zheng, Ning Yu, Cen Liang:
Multi-Smart Meter Data Encryption Scheme Based on Distributed Differential Privacy. 131-141 - Zhongyin Xu, Xiujuan Lei, Mei Ma, Yi Pan:
Molecular Generation and Optimization of Molecular Properties Using a Transformer Model. 142-155 - 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. 156-170 - Shan Zhang, Qinkai Jiang, Hao Li, Bin Cao, Jing Fan:
PURP: A Scalable System for Predicting Short-Term Urban Traffic Flow Based on License Plate Recognition Data. 171-187 - Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu:
Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals. 188-204 - Aafaq Mohi ud din, Shaima Qureshi:
Limits of Depth: Over-Smoothing and Over-Squashing in GNNs. 205-216 - 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. 217-243 - Call for Papers: Special Issue on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications. 244
- Call for Papers: Special Issue on Big Data Computing for Cyber Physical Social Intelligence. 245
Volume 7, Number 2, 2024
- Mona Ahamd Alghamdi, Abdullah S. Al-Malaise Al-Ghamdi, Mahmoud Ragab:
Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble. 247-270 - Sunil Kumar:
AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks: Transforming Telecommunication Business. 271-293 - Shahriar Kaisar, Md. Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Abeshu Diro:
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning. 294-314 - Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella:
Extending OpenStack Monasca for Predictive Elasticity Control. 315-339 - Muhammad Ajmal Azad, Junaid Arshad, Farhan Riaz:
ROBO-SPOT: Detecting Robocalls by Understanding User Engagement and Connectivity Graph. 340-356 - 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. 357-370 - 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. 371-398 - 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. 399-418 - Abed Mutemi, Fernando Bação:
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review. 419-444 - 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. 445-484 - Sohail Khan, Mohammad Nauman:
Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers. 485-499 - Saravanan Selvam, Uma Maheswari Balasubramanian:
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks. 500-511 - Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin:
Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction. 512-530 - Zhihua Li, Xinye Yu, Tao Wei, Junhao Qian:
Unstructured Big Data Threat Intelligence Parallel Mining Algorithm. 531-546 - Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang:
KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt. 547-560 - Call for Papers: Special Issue on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications. 561
- Call for Papers: Special Issue on Data-Driven Spatial and Temporal Anomaly Detection. 562
- Call for Papers: Special Issue on AI-Enhanced Big Data Governance. 563
Volume 7, Number 3, 2024
- Zhaoxu Meng, Cheng Chen, Xuan Zhang, Wei Zhao, Xuefeng Cui:
Exploring Fragment Adding Strategies to Enhance Molecule Pretraining in AI-Driven Drug Discovery. 565-576 - Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun:
DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction. 577-589 - Zhilong Lv, Rui Yan, Yuexiao Lin, Lin Gao, Fa Zhang, Ying Wang:
A Disentangled Representation-Based Multimodal Fusion Framework Integrating Pathomics and Radiomics for KRAS Mutation Detection in Colorectal Cancer. 590-602 - Yaping Zhao, Jichang Zhao, Edmund Y. Lam:
House Price Prediction: A Multi-Source Data Fusion Perspective. 603-620 - Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao:
A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction. 621-636 - Michal Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musial, Radoslaw Michalski, Piotr Bródka:
Network Diffusion Framework to Simulate Spreading Processes in Complex Networks. 637-654 - Jun Long, Yinan Li, Zhan Yang:
Influence of Attribute Granulation on Three-Way Concept Lattices. 655-667 - Qiaozhen Meng, Yinuo Lyu, Xiaoqing Peng, Junhai Xu, Jijun Tang, Fei Guo:
EPIMR: Prediction of Enhancer-Promoter Interactions by Multi-Scale ResNet on Image Representation. 668-681 - Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang:
Collaborative Knowledge Infusion for Low-Resource Stance Detection. 682-698 - Kai Zhang, Pei-Wei Tsai, Jiao Tian, Wenyu Zhao, Xinyi Cai, Longxiang Gao, Jinjun Chen:
Towards Privacy in Decentralized IoT: A Blockchain-Based Dual Response DP Mechanism. 699-717 - Faleh Alshameri, Ran Xia:
An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection. 718-729 - Lei Chen, Yuan Li, Hualiang Liu, Haomiao Guo:
Node and Edge Joint Embedding for Heterogeneous Information Network. 730-752 - Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li:
Graph Deep Active Learning Framework for Data Deduplication. 753-764 - Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng:
SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning. 765-780 - Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan:
Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder. 781-793 - Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf:
SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs. 794-808 - Shuqing He, Jicong Fan, Tianwei Yu:
G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data. 809-827 - Jin Liu, Xu Tian, Hanhe Lin, Hong-Dong Li, Yi Pan:
Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction. 828-842 - Zhongjian Hu, Peng Yang, Fengyuan Liu, Yuan Meng, Xingyu Liu:
Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering. 843-857 - Taojie Kuang, Pengfei Liu, Zhixiang Ren:
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey. 858-888 - Pengfei Yue, Beijing Chen, Zhangjie Fu:
Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection. 889-904 - Tao Chen, Yang Jiao, Lei Xie, Hongye Su:
QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series. 905-919 - Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long:
Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection. 920-941 - Muhammad Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He:
Analysis and Classification of Fake News Using Sequential Pattern Mining. 942-963 - Kamal Taha, Paul D. Yoo, Chan Yeob Yeun, Aya Taha:
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey. 964-1014
Volume 7, Number 4, 2024
- Dongxiao Yu, Xu Chen, Zhipeng Cai:
Editorial: Special Section on Edge AI Empowered Giant Model Training. 1015-1016 - Ao Xiong, Han Zhou, Yu Song, Dong Wang, Xu Wei, Da Li, Bo Gao:
A Multi-Task Based Clustering Personalized Federated Learning Method. 1017-1030 - Chang Liu, Shaoyong Guo, Fangfang Dang, Xuesong Qiu, Sujie Shao:
Large-Scale Model Meets Federated Learning: A Hierarchical Hybrid Distributed Training Mechanism for Intelligent Intersection Large-Scale Model. 1031-1049 - Ruiqi Liu, Songcan Yu, Linsi Lan, Junbo Wang, Krishna Kant, Neville Calleja:
A Remedy for Heterogeneous Data: Clustered Federated Learning with Gradient Trajectory. 1050-1064 - Chuanwen Luo, Jian Zhang, Jianxiong Guo, Yi Hong, Zhibo Chen, Shuyang Gu:
Energy Efficiency Maximization in RISs-Assisted UAVs-Based Edge Computing Network Using Deep Reinforcement Learning. 1065-1083 - Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Zhenzhen Xie, Peng Li, Xiuzhen Cheng:
Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning. 1084-1097 - Shuo Wang, Chao Wang, Tianshuo Dong, Yunhua He, Ke Xiao:
Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN. 1098-1113 - Yanjie Wei, Huiling Zhang, Zhipeng Cai, Fa Zhang, Zhaolei Zhang:
Editorial: Special Section on Challenges and Opportunities in Biomedical Big Data Analysis: From Large Language Models to Clinical Applications. 1114-1115 - Mianxin Liu, Weiguo Hu, Jinru Ding, Jie Xu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. 1116-1128 - Boya Ji, Xiaoqi Wang, Debin Qiao, Liwen Xu, Shaoliang Peng:
SpaCCC: Large Language Model-Based Cell-Cell Communication Inference for Spatially Resolved Transcriptomic Data. 1129-1147 - Zhe Liu, Yihang Bao, Shuai Zeng, Ruiyi Qian, Miaohan Deng, An Gu, Jianye Li, Weidi Wang, Wenxiang Cai, Wenhao Li, Han Wang, Dong Xu, Guan Ning Lin:
Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope. 1148-1168 - Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng:
Transformer-Based Single-Cell Language Model: A Survey. 1169-1186 - Quan Yan, Junwen Duan, Jianxin Wang:
KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection. 1187-1198 - Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, Linjing Wei, Kang Li, Le Zhang:
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. 1199-1211 - Yuli Chen, Guoping Chen, Guoying Shi, Yao Zhou, Jiayang Bai, Germán Corredor, Cheng Lu, Xiujuan Lei:
SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images. 1212-1236 - Yusen Li, Zaobo He, Peilin He, Yulin Cao:
Federated Learning on Heterogeneous Images in Internet of Biomedical Things. 1237-1250 - Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui:
Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry. 1251-1261 - Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang:
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks. 1262-1272 - Lei Li, Guodong Lü, Chun-Hou Zheng, Renyong Lin, Yansen Su:
MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction. 1273-1286 - Fu Zhou, Fei Luo, Ruoshan Kong, Yi-Ping Phoebe Chen, Feng Liu:
MMAR-Net: A Multi-Stride and Multi-Resolution Affine Registration Network for CT Images. 1287-1300 - Xuelei Li, Zhichao Wang, Yi Pan, Jintao Meng, Shengzhong Feng, Yanjie Wei:
Distributed Heterogeneous Spiking Neural Network Simulator Using Sunway Accelerators. 1301-1320 - Tao Peng, Yiwen Ruan, Yidong Gu, Jiang Huang, Caiyin Tang, Jing Cai:
Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data. 1321-1332 - Yutao Dou, Wei Li, Yangtao Zheng, Xiaojun Yao, Huanxiang Liu, Albert Y. Zomaya, Shaoliang Peng:
Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization. 1333-1346 - Gaoshuai Wang, Linrunjia Liu, Fabrice Lauri, Amir Hajjam El Hassani:
Multi-Scale DCNN with Dynamic Weight and Part Cross-Entropy Loss for Skin Lesion Diagnosis. 1347-1361 - Nan Gao, Yukai Li, Peng Chen, Jijun Tang, Tianshuang Liu:
GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images. 1362-1374 - Zhen Yang, Yongbin Liu, Chunping Ouyang, Shu Zhao, Chi Zhu:
Improving Few-Shot Named Entity Recognition with Causal Interventions. 1375-1395 - Jiaqi Yu, Jiayi Cai, Aamir Fahira, Keyong Liao, Yani Tongjia, Yiming Shao, Zunnan Huang:
A Comprehensive Investigation to Identify Prognostic mRNA and miRNA Signatures for Renal Cell Carcinoma Utilizing a Stratification-Based Approach. 1396-1416
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