460501. Data engineering and data science
| Title | 460501. Data engineering and data science |
|---|---|
| Parent | 4605. Data management and data science |
Latest research outputs
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Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks
Cai, Taotao, Yang, Shuiqiao, Li, Jianxin, Sheng, Quan Z., Yang, Jian, Wang, Xin, Zhang, Wei Emma and Gao, Longxiang. 2023. "Incremental graph computation: Anchored Vertex Tracking in Dynamic Social Networks." IEEE Transactions on Knowledge and Data Engineering. 35 (7), pp. 7030-7044. https://doi.org/10.1109/TKDE.2022.3199494Article
Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features
Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Dann, Christopher, Xie, Haoran, Li, Yan and O'Neill, Shirley. 2023. "Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features." Computers and Education: Artificial Intelligence. 4. https://doi.org/10.1016/j.caeai.2022.100116Article
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly, Siuly, Guo, Yanhui, Alcin, Omer Faruk, Li, Yan, Wen, Peng and Wang, Hua. 2023. "Exploring deep residual network based features for automatic schizophrenia detection from EEG." Physical and Engineering Sciences in Medicine. 46 (2), pp. 561-574. https://doi.org/10.1007/s13246-023-01225-8Article
Efficient novel network and index for alcoholism detection from EEGs
Sadiq, Muhammad Tariq, Siuly, Siuly, Almogren, Ahmad, Li, Yan and Wen, Paul. 2023. "Efficient novel network and index for alcoholism detection from EEGs." Health Information Science and Systems. 11 (1). https://doi.org/10.1007/s13755-023-00227-wArticle
Crowd-Assisted Flood Disaster Management
Koswatte, S., McDougall, K. and Liu, X.. 2023. "Crowd-Assisted Flood Disaster Management." Singh, Vijay P., Yadav, Shalini, Yadac, Krishna Kumar, Corzo, Gerald Augusto, Munoz-Arriola, Francisco and Yadava, Ram Narayan (ed.) Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Switzerland. Springer. pp. 39-55Edited book (chapter)
A hybrid deep learning scheme for multi-channel sleep stage classification
Pei, Wei, Li, Yan, Siuly, Siuly and Wen, Peng. 2022. "A hybrid deep learning scheme for multi-channel sleep stage classification." Computers, Materials and Continua. 71 (1), pp. 889-905. https://doi.org/10.32604/cmc.2022.021830Article
Assessment and Prediction of Sea Level Trend in the South Pacific Region
Raj, Nawin, Gharineiat, Zahra, Ahmed, Abul Abrar Masrur and Stepanyants, Yury. 2022. "Assessment and Prediction of Sea Level Trend in the South Pacific Region." Remote Sensing. 14 (4), pp. 1-25. https://doi.org/10.3390/rs14040986Article
Big data in construction: current applications and future opportunities
Munawar, Hafiz Suliman, Ullah, Fahim, Qayyum, Siddra and Shahzad, Danish. 2022. "Big data in construction: current applications and future opportunities." Big Data and Cognitive Computing. 6 (1). https://doi.org/10.3390/bdcc6010018Article
Context-aware Adaptive Outlier Detection in Trajectory Data
Danda, Srinivas, Zhang, Ji, Tao, Xiaohui, Chun-Wei, Jerry and Zhang, Wenbin. 2020. "Context-aware Adaptive Outlier Detection in Trajectory Data." Wu, Xintao, Jermaine, Chris, Xiong, Li, Hu, Xiaohua, Kotevska, Olivera, Lu, Siyuan, Xu, Weija, Aluru, Srinivas, Zhai, Chengxiang, Al-Masri, Eyhab, Chen, Zhiyuan and Saltz, Jeff (ed.) 8th IEEE International Conference on Big Data (2020). Atlanta, United States 10 - 13 Dec 2020 United States. https://doi.org/10.1109/BigData50022.2020.9378046Paper
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications
Kuai, Hongzhi, Chen, Jianhui, Tao, Xiaohui, Imamura, Kazuyuki, Liang, Peipeng and Zhong, Ning. 2021. "Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications." Mahmud, Mufti, Kaiser, M. Shamim, Vassanelli, Stefano, Dai, Qionghai and Zhong, Ning (ed.) 14th International Conference on Brain Informatics (BI 2021). Online Cham, Switzerland. https://doi.org/10.1007/978-3-030-86993-9_10Paper
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Hu, Kaixi, Li, Lin, Xie, Qing, Liu, Jianquan and Tao, Xiaohui. 2021. "What is Next when Sequential Prediction Meets Implicitly Hard Interaction?" 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). Queensland, Australia 01 - 05 Nov 2021 New York, United States. https://doi.org/10.1145/3459637.3482492Paper
The Pursuit of Service Excellence: how business intelligence can drive service improvement
Te'o, Togamau. 2019. "The Pursuit of Service Excellence: how business intelligence can drive service improvement." Australian Network University Planners Conference (ANUP 2019). Hobart, Tasmania 11 Nov 2019Paper
Adaptive fault diagnosis for data replication systems
Wee, Chee Keong and Wee, Nathan. 2021. "Adaptive fault diagnosis for data replication systems." Qiao, Miao, Vossen, Gottfried, Wang, Sen and Li, Lei (ed.) 32nd Australasian Database Conference: Database Theory and Applications (ADC 2021). Dunedin, New Zealand 29 Jan - 05 Feb 2021 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-69377-0_11Paper
A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction
Ra, Jee Sook, Li, Tianning, Li, Yan, Ra, Jee S., Li, Tianning and Li, Yan. 2021. "A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction." Sensors. 21 (23). https://doi.org/10.3390/s21237972Article
Large-scale brain network model and multi-band electroencephalogram rhythm simulations
Al-Hossenat, Auhood, Wen, Peng and Li, Yan. 2022. "Large-scale brain network model and multi-band electroencephalogram rhythm simulations." International Journal of Biomedical Engineering and Technology. 38 (4), pp. 395-409. https://doi.org/10.1504/IJBET.2022.123153Article
Using Machine Learning to Automate Mammogram Images Analysis
Tang, Xuejiao, Zhang, Liuhua, Zhang, Wenbin, Huang, Xin, Iosifidis, Vasileios, Liu, Zhen, Zhang, Mingli, Messina, Enza and Zhang, Ji. 2021. "Using Machine Learning to Automate Mammogram Images Analysis." Park, Taesung, Cho, Young-Rae, Hu, Xiaohua, Yoo, Illhoi, Woo, Hyun Goo, Wang, Jianxin, Facelli, Julio and Nam, Seungyoon (ed.) 2020 International Conference on Bioinformatics and Biomedicine (BIBM'20). Seoul, South Korea 16 - 19 Dec 2020 Piscataway, United States. https://doi.org/10.1109/BIBM49941.2020.9313247Paper
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams
Zhang, Wenbin, Zhang, Mingli, Zhang, Ji, Liu, Zhen, Chen, Zhiyuan, Wang, Jianwu, Raff, Edward and Messina, Enza. 2020. "Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00069Paper
Deep interest shifting network with meta embeddings for fresh item recommendation
Li, Zhao, Wang, Haobo, Ding, Donghui, Hu, Shichang, Zhang, Zhen, Liu, Weiwei, Gao, Jianliang, Zhang, Zhiqiang and Zhang, Ji. 2020. "Deep interest shifting network with meta embeddings for fresh item recommendation." Complexity. https://doi.org/10.1155/2020/8828087Article
Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks
Li, Jianxin, Cai, Taotao, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu. 2018. "Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks ." 2018 IEEE 34th International Conference on Data Engineering (ICDE). Paris, France 16 - 19 Apr 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDE.2018.00145Paper