4605. Data management and data science
Title | 4605. Data management and data science |
---|---|
Parent | 46. Information and Computing Sciences |
Latest research outputs
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Employers’ perspectives of accounting graduates and their world of work: software use and ICT competencies
Daff, Lyn. 2021. "Employers’ perspectives of accounting graduates and their world of work: software use and ICT competencies." Accounting Education: An International Journal. 30 (5), pp. 495-524. https://doi.org/10.1080/09639284.2021.1935282Article
Resampling methods for generating continuous multivariate synthetic data for disclosure control
Khan, Atikur R. and Kabir, Enamul. 2021. "Resampling methods for generating continuous multivariate synthetic data for disclosure control." Journal of Data, Information and Management. 3, pp. 225-235. https://doi.org/10.1007/s42488-021-00054-2Article
Charge prediction modeling with interpretation enhancement driven by double-layer criminal system
Li, Lin, Zhao, Lingyun, Nai, Peiran and Tao, Xiaohui. 2022. "Charge prediction modeling with interpretation enhancement driven by double-layer criminal system." World Wide Web. 25 (1), pp. 381-400. https://doi.org/10.1007/s11280-021-00873-8Article
A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Zhou, Xujuan, Li, Lin and Cai, Yi. 2021. "A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues." The Computer Journal. 64 (7), pp. 1104-1129. https://doi.org/10.1093/comjnl/bxab065Article
Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models
Body, Thomas, Tao, Xiaohui, Li, Yuefeng, Li, Lin and Zhong, Ning. 2021. "Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models." Expert Systems with Applications. 178, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.115033Article
Extending Graph Pattern Matching with Regular Expressions
Wang, Xin, Wang, Yang, Xu, Yang, Zhang, Ji and Zhong, Xueyan. 2020. "Extending Graph Pattern Matching with Regular Expressions." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59051-2_8Paper
Bounded Pattern Matching Using Views
Wang, Xin, Wang, Yang, Zhang, Ji and Zhu, Yan. 2020. "Bounded Pattern Matching Using Views." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59003-1_19Paper
Predicting Workplace Injuries Using Machine Learning Algorithms
Sukumar, Divya, Zhang, Ji, Tao, Xiaohui, Wang, Xin and Zhang, Wenbin. 2020. "Predicting Workplace Injuries Using Machine Learning Algorithms." Webb, Geoff, Zhang, Zhongfei, Tseng, Vincent S., Williams, Graham, Vlachos, Michalis and Cao, Longbing (ed.) 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020). Sydney, Australia 06 - 09 Oct 2020 Piscataway, United States. https://doi.org/10.1109/DSAA49011.2020.00104Paper
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
Proof Learning in PVS with Utility Pattern Mining
Nawaz, M. Saqib, Fournier-Viger, Philippe and Zhang, Ji. 2020. "Proof Learning in PVS with Utility Pattern Mining." IEEE Access. 8, pp. 119806-119818. https://doi.org/10.1109/ACCESS.2020.3004199Article
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
A snapshot of data quality issues in Indonesian community health
Aisyah, Maulidyati and Cockcroft, Sophie. 2014. "A snapshot of data quality issues in Indonesian community health." International Journal of Networking and Virtual Organisations. 14 (3), pp. 280-297.Article
Incorporating security into electronic health records based healthcare systems with wireless sensor networks
Al-Zubaidie, Mishall Hammed Awaad. 2020. Incorporating security into electronic health records based healthcare systems with wireless sensor networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/e7re-as86PhD Thesis
Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219Article
Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings
Wang, Fu Lee, Xie, Haoran, Lam, Wai, Sun, Aixin, Ku, Lun-Wei, Hao, Tianyong, Chen, Wei, Wong, Tak-Lam and Tao, Xiaohui. 2020. Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings. Switzerland. Springer.Edited book
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805Article
Event prediction through structural intelligence in online social networks
Tan, Leonard. 2020. Event prediction through structural intelligence in online social networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/asxq-ax90PhD Thesis
Knowledge discovery for health risk prediction
Pham, Thuan. 2020. Knowledge discovery for health risk prediction. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/jj7h-9231PhD Thesis
Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition
Rezaie-Balf, Mohammad, Kim, Sungwon, Ghaemi, Alireza and Deo, Ravinesh. 2021. "Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 115-142Edited book (chapter)
Multifractal Cross Correlation Analysis of Agro-Meteorological Datasets (Including Reference Evapotranspiration) of California, United States
Sankaran, A., Krzyszczak, Jaromir, Baranowski, Piotr, Devarajan Sindhu, Archana, Nandhineekrishna Pradeep, Kumar, Lija Jayaprakash, Nityanjali, Thankamani, Vandana and Ali, Mumtaz. 2020. "Multifractal Cross Correlation Analysis of Agro-Meteorological Datasets (Including Reference Evapotranspiration) of California, United States." Atmosphere. 11 (10), pp. 1-24. https://doi.org/10.3390/atmos11101116Article
The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)
Zhou, Xiangmin, Zhang, Ji and Zhang, Yanchun. 2019. "The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)." 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Melbourne, Australia 11 - 15 Feb 2019 New York, United States. https://doi.org/10.1145/3289600.3291372Paper
Automated prediction of sepsis using temporal convolutional network
Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957Article
Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan
Ali, Mumtaz. 2019. Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/S847-M467PhD Thesis
Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517Article
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676Article
Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region
Wu, Min, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yin, Zhenliang, Yang, Linshan and Sheng, Danrui. 2020. "Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region." Hydrology Research: an international journal. 51 (4), pp. 648-665. https://doi.org/10.2166/nh.2020.012Article
Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea
Yeom, Jong-Min, Deo, Ravinesh C., Adamowski, Jan F., Park, Seonyoung and Lee, Chang-Suk. 2020. "Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea." Environmental Research Letters. 15 (9), pp. 1-10. https://doi.org/10.1088/1748-9326/ab9467Article
A novel differential privacy recommendation method based on distributed framework
Zheng, Xiaoyao, Luo, Yonglong, Zhang, Ji, Sun, Liping and Chen, Fulong. 2018. "A novel differential privacy recommendation method based on distributed framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 2018 Workshop on Scalable and Applicable Recommendation Systems (SAREC 2018), in conjunction with the 18th IEEE International Conference on Data Mining (ICDM 2018). Singapore 17 - 20 Nov 2018 Los Alamitos, California. https://doi.org/10.1109/ICDMW.2018.00189Paper
Mining health knowledge graph for health risk prediction
Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1Article
Computational Social Science as the ultimate Web Intelligence
Tao, Xiaohui, Velasquez-Silva, Juan Domingo, Liu, Jiming and Zhong, Ning. 2020. "Computational Social Science as the ultimate Web Intelligence." World Wide Web. 23 (3), pp. 1743-1745. https://doi.org/10.1007/s11280-020-00801-2Editorial
Hybridized neural fuzzy ensembles for dust source modeling and prediction
Rahmati, Omid, Panahi, Mahdi, Ghiasi, Seid Saeid, Deo, Ravinesh C., Tiefenbacher, John P., Pradhan, Biswajeet, Jahani, Ali, Goshtasb, Hamid, Kornejady, Aiding, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Hassan, Moghaddam, Davoud Davoudi, Mohtashamian, Maryamsadat and Bui, Dieu Tien. 2020. "Hybridized neural fuzzy ensembles for dust source modeling and prediction." Atmospheric Environment. 224, pp. 1-11. https://doi.org/10.1016/j.atmosenv.2020.117320Article
Enhanced deep learning algorithm development to detect pain intensity from facial expression images
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305Article
A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2020. "A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms." Science of the Total Environment. 709, pp. 1-23. https://doi.org/10.1016/j.scitotenv.2019.135934Article
VennTags: A file management system based on overlapping sets of tags
Albadri, Nehad, Dekeyser, Stijn and Watson, Richard. 2017. "VennTags: A file management system based on overlapping sets of tags." Sterzer, Wjatscheslaw and van de Sandt, Stephanie (ed.) iConference 2017 Effect, Expand, Evolve: Global Collaboration Across the Information Community. Wuhan, China 22 - 25 Mar 2017 United States. https://doi.org/10.9776/17002Paper
An examination of the Skills Framework for the Information Age (SFIA) version 7
Brown, Jason. 2020. "An examination of the Skills Framework for the Information Age (SFIA) version 7." International Journal of Information Management. 51. https://doi.org/10.1016/j.ijinfomgt.2019.102058Article
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease
Zomorodi-Moghadam, Mariam, Abdar, Moloud, Davarzani, Zohreh, Zhou, Xujuan, Pławiak, Pawel and Acharya, U. Rajendra. 2021. "Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease." Expert Systems: the journal of knowledge engineering. 38 (1), pp. 1-17. https://doi.org/10.1111/exsy.12485Article
Manufacturing big data ecosystem: A systematic literature review
Cui, Yesheng, Kara, Sami and Chan, Ka C.. 2020. "Manufacturing big data ecosystem: A systematic literature review." Robotics and Computer Integrated Manufacturing. 62, pp. 1-20. https://doi.org/10.1016/j.rcim.2019.101861Article
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
Rahmati, Omid, Panahi, Mahdi, Kalantari, Zahra, Soltani, Elinaz, Falah, Fatemeh, Dayal, Kavina S., Mohammadi, Farnoush, Deo, Ravinesh C., Tiefenbacher, John and Bui, Dieu Tien. 2020. "Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia." Science of the Total Environment. 718, pp. 1-17. https://doi.org/10.1016/j.scitotenv.2019.134656Article
Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Liu, Wen. 2020. "Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China." Catena. 187. https://doi.org/10.1016/j.catena.2019.104345Article
Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks
Zhang, Hengda, Wang, Xiaofei, Fan, Hao, Cai, Taotao, Li, Jianxin, Li, Xiuhua and Leung, Victor C. M.. 2020. "Anchor vertex selection for enhanced reliability of traffic offloading service in edge-enabled mobile P2P social networks." Journal of Communications and Information Networks. 5 (2), pp. 217-224. https://doi.org/10.23919/JCIN.2020.9130437Article
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460501. Data engineering and data science
460502. Data mining and knowledge discovery
460503. Data models, storage and indexing
460506. Graph, social and multimedia data
460507. Information extraction and fusion
460508. Information retrieval and web search
460509. Query processing and optimisation
460511. Stream and sensor data
460599. Data management and data science not elsewhere classified