Xiufeng Liu

According to our database, Xiufeng Liu authored at least 101 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation.

Ruyu Liu, Feng Xiao, Jianhua Zhang, Xiufeng Liu, Xu Cheng, Shengyong Chen, Bo Sun, Houxiang Zhang

Pattern Recognit., 2026

2025

One Stone, Three Birds: Prototype-Enhanced Federated Learning for Mitigating Data Scarcity, Imbalance, and Heterogeneity in Blade Icing Detection Across Distributed Wind Farms.

Lele Qi, Mengna Liu, Xu Cheng, Chen Jia, Xiufeng Liu, Shengyong Chen

IEEE Internet Things J., October, 2025

Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data.

Zhichao Xu, Mengna Liu, Tianjiao Li, Xiufeng Liu, Xu Cheng, Shengyong Chen

IEEE Trans. Intell. Transp. Syst., August, 2025

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data.

Zhijin Wang, Senzhen Wu, Yue Hu, Xiufeng Liu

CoRR, August, 2025

Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting.

Yaohui Huang, Senzhen Wu, Zhijin Wang, Xiufeng Liu, Chendan Li, Yue Hu

IEEE Trans. Smart Grid, July, 2025

FRAME: Feature Rectification for Class Imbalance Learning.

Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen

IEEE Trans. Knowl. Data Eng., March, 2025

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data.

Lele Qi, Mengna Liu, Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen

CoRR, March, 2025

Temporal structure-preserving transformer for industrial load forecasting.

Senzhen Wu, Zhijin Wang, Xiufeng Liu, Yuan Zhao, Yue Hu, Yaohui Huang

Neural Networks, 2025

Adaptive expert fusion model for online wind power prediction.

Renfang Wang, Jingtong Wu, Xu Cheng, Xiufeng Liu, Hong Qiu

Neural Networks, 2025

Semantic Change Detection of Bitemporal Remote Sensing Images Using Frequency Feature Enhancement.

Renfang Wang, Kun Yang, Feng Wang, Hong Qiu, Yingying Huang, Xiufeng Liu

IEEE Geosci. Remote. Sens. Lett., 2025

SpatialIE: Towards adaptive floating waste detection in unpredictable weather.

Yifan Yin, Xiufeng Liu, Xu Cheng, Yusen Liu, Tianqing Zhu, Huan Huo

Knowl. Based Syst., 2025

Hierarchical Spatiotemporal Graph Network for Fault Diagnosis of Industrial Processes.

Guoqian Jiang, Kaili Shen, Xiufeng Liu, Xu Cheng, Ping Xie

IEEE Internet Things J., 2025

Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments.

Renfang Wang, Jingtong Wu, Xu Cheng, Xiufeng Liu, Hong Qiu

Eng. Appl. Artif. Intell., 2025

Time series anomaly detection via temporal relationship graphs and adaptive smoothing.

Rongfei Ma, Yuhao Ma, Xiufeng Liu

Appl. Soft Comput., 2025

PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models.

Zhiyong Zhang, Ruyu Liu, Xiufeng Liu, Yunrui Zhu, Yanyan Yang, Chaochao Wang, Jianhua Zhang

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Causal Discovery with Inverted Self-attention for Multivariate Time Series.

Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data.

Xin Qin, Mengna Liu, Xu Cheng, Xiufeng Liu, Fan Shi, Jianhua Zhang, Shengyong Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing.

Zhiyong Zhang, Yunrui Zhu, Ruyu Liu, Xu Cheng, Jianhua Zhang, Xiufeng Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling.

Zhiyong Zhang, Ruyu Liu, Chaochao Wang, Xianchao Zhang, Jianhua Zhang, Xiufeng Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation.

Hui Liu, Chen Jia, Xu Cheng, Xiufeng Liu, Fan Shi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation.

Qia Zhang, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values.

Zhanneng Zeng, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks.

Jie He, Lin Wang, Jiajia Wang, Ruyu Liu, Haoyu Zhang, Bo Sun, Xiufeng Liu, Chaochao Wang, Xianchao Zhang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Computational Methods for Blade Icing Detection of Wind Turbines

Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen

24, Springer, ISBN: 978-981-96-6762-8, 2025

2024

Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine.

Renfang Wang, Hong Qiu, Guoqian Jiang, Xiufeng Liu, Xu Cheng

IEEE Trans. Ind. Informatics, August, 2024

Prompt Learning for Light Field Semantic Segmentation in the Consumer-Centric Internet of Intelligent Computing Things.

Chen Jia, Fan Shi, Xiufeng Liu, Xu Cheng, Zixuan Zhang, Meng Zhao, Shengyong Chen

IEEE Trans. Consumer Electron., August, 2024

A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines.

Guoqian Jiang, Kai Zhao, Xiufeng Liu, Xu Cheng, Ping Xie

IEEE Internet Things J., July, 2024

Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection.

Xu Cheng, Tian He, Fan Shi, Meng Zhao, Xiufeng Liu, Shengyong Chen

IEEE Trans. Intell. Transp. Syst., May, 2024

A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship.

Mengna Liu, Xu Cheng, Fan Shi, Xiufeng Liu, Hongning Dai, Shengyong Chen

IEEE Trans. Sustain. Comput., 2024

High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection.

Yifan Yin, Xu Cheng, Fan Shi, Xiufeng Liu, Huan Huo, Shengyong Chen

IEEE Trans. Geosci. Remote. Sens., 2024

A new feature selection method based on importance measures for crude oil return forecasting.

Yuan Zhao, Yaohui Huang, Zhijin Wang, Xiufeng Liu

Neurocomputing, 2024

Carbon futures price forecasting based on feature selection.

Yuan Zhao, Yaohui Huang, Zhijin Wang, Xiufeng Liu

Eng. Appl. Artif. Intell., 2024

An End-to-End Model for Time Series Classification In the Presence of Missing Values.

Pengshuai Yao, Mengna Liu, Xu Cheng, Fan Shi, Huan Li, Xiufeng Liu, Shengyong Chen

CoRR, 2024

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data.

Mengna Liu, Dong Xiang, Xu Cheng, Xiufeng Liu, Dalin Zhang, Shengyong Chen, Christian S. Jensen

CoRR, 2024

An integrated intrusion detection framework based on subspace clustering and ensemble learning.

Jingyi Zhu, Xiufeng Liu

Comput. Electr. Eng., 2024

Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting.

Yuan Zhao, Weiguo Zhang, Xiufeng Liu

Appl. Soft Comput., 2024

Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process.

Yuan Zhao, Weiguo Zhang, Xue Gong, Xiufeng Liu

Appl. Soft Comput., 2024

ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency.

Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Sunbo, Weiguo Sheng, Xiufeng Liu, Yaochu Jin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Upskilling the Workforce for Green Transition.

Per Sieverts Nielsen, Ramazan Sari, Xiufeng Liu, Xiaobing Zhang, Daniel Møller Sneum

Proceedings of the IEEE Sustainable Power and Energy Conference, 2024

Multiscale Wavelet-Driven Transformerfor Blade Icing Detection.

Dong Xiang, Xu Cheng, Sizhuo Chen, Mengna Liu, Fan Shi, Xiufeng Liu

Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting.

Yue Hu, Senzhen Wu, Yu Chen, Xinhao He, Zihao Xie, Zhijin Wang, Xiufeng Liu, Yonggang Fu

Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering, 2024

Online Machine Learning for Adaptive Ballast Water Management.

Nadeem Iftikhar, Yi-Chen Lin, Xiufeng Liu, Finn Ebertsen Nordbjerg

Proceedings of the 13th International Conference on Data Science, 2024

2023

A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation.

Xu Cheng, Kexin Wang, Xiufeng Liu, Qian Yu, Fan Shi, Zhengru Ren, Shengyong Chen

IEEE Trans. Intell. Transp. Syst., December, 2023

A systematic review of data-driven approaches to fault diagnosis and early warning.

Jieyang Peng, Andreas Kimmig, Dongkun Wang, Zhibin Niu, Fan Zhi, Jiahai Wang, Xiufeng Liu, Jivka Ovtcharova

J. Intell. Manuf., December, 2023

Anomaly detection with a container-based stream processing framework for Industrial Internet of Things.

Renfang Wang, Hong Qiu, Xu Cheng, Xiufeng Liu

J. Ind. Inf. Integr., October, 2023

Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning.

Marco Biemann, Philipp Andreas Gunkel, Fabian Scheller, Lizhen Huang, Xiufeng Liu

IEEE Internet Things J., August, 2023

Smart Meter Synthetic Data Generator development in python using FBProphet.

Ezhilarasi P., Ramesh L., Xiufeng Liu, Jens Bo Holm-Nielsen

Softw. Impacts, March, 2023

FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction.

Dongtian Zhang, Weiwei Tian, Xu Cheng, Fan Shi, Hong Qiu, Xiufeng Liu, Shengyong Chen

IEEE Trans. Instrum. Meas., 2023

A Difference Enhanced Neural Network for Semantic Change Detection of Remote Sensing Images.

Renfang Wang, Hucheng Wu, Hong Qiu, Feng Wang, Xiufeng Liu, Xu Cheng

IEEE Geosci. Remote. Sens. Lett., 2023

A late-mover genetic algorithm for resource-constrained project-scheduling problems.

Yongping Liu, Lizhen Huang, Xiufeng Liu, Guomin Ji, Xu Cheng, Erling Onstein

Inf. Sci., 2023

Chapter Two - Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications.

Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam

Adv. Comput., 2023

Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples.

Ting Huang, Xike Xie, Xiufeng Liu

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance.

Jiacheng Gao, Xu Cheng, Xiufeng Liu, Fan Shi, Meng Zhao, Shengyong Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Understanding crowd energy consumption behaviors.

Xiufeng Liu, Xu Cheng, Yanyan Yang, Huan Huo, Yongping Liu, Per Sieverts Nielsen

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images.

Renfang Wang, Zijian Yang, Hong Qiu, Xiufeng Liu, Dun Wu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images.

Hong Qiu, Heng Jin, Renfang Wang, Xiufeng Liu, Guang Gao

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection.

Xu Cheng, Fan Shi, Xiufeng Liu, Meng Zhao, Shengyong Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades.

Xu Cheng, Fan Shi, Yongping Liu, Jiehan Zhou, Xiufeng Liu, Lizhen Huang

IEEE Trans. Ind. Informatics, 2022

A Review of Federated Learning in Energy Systems.

Xu Cheng, Chendan Li, Xiufeng Liu

CoRR, 2022

2021

Electricity Consumer Characteristics Identification: A Federated Learning Approach.

Yi Wang, Imane Lahmam Bennani, Xiufeng Liu, Mingyang Sun, Yao Zhou

IEEE Trans. Smart Grid, 2021

Addressing partial observability in reinforcement learning for energy management.

Marco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention.

Wenjing Dai, Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen

Proceedings of the Intelligent Technologies and Applications, 2021

A Workload-Aware Change Data Capture Framework for Data Warehousing.

Weiping Qu, Xiufeng Liu, Stefan Dessloch

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

SEGSys: A mapping system for segmentation analysis in energy.

Xiufeng Liu, Rongling Li, Yi Wang, Per Sieverts Nielsen

CoRR, 2020

E³: Visual Exploration of Spatiotemporal Energy Demand.

Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang

CoRR, 2020

Deep Learning Based Fusion Approach for Hate Speech Detection.

Yanling Zhou, Yanyan Yang, Han Liu, Xiufeng Liu, Nick Savage

IEEE Access, 2020

A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream.

Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang, Per Sieverts Nielsen

Proceedings of the Neural Information Processing - 27th International Conference, 2020

VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery.

Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019

Two approaches for synthesizing scalable residential energy consumption data.

Xiufeng Liu, Nadeem Iftikhar, Huan Huo, Rongling Li, Per Sieverts Nielsen

Future Gener. Comput. Syst., 2019

Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas.

Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam

CoRR, 2019

A Spark ML driven preprocessing approach for deep learning based scholarly data applications.

Samiya Khan, Xiufeng Liu, Mansaf Alam

CoRR, 2019

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison.

Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam

CoRR, 2019

SmartM: A Non-intrusive Load Monitoring Platform.

Xiufeng Liu, Simon Bolwig, Per Sieverts Nielsen

Proceedings of the Business Information Systems Workshops, 2019

2018

Scalable prediction-based online anomaly detection for smart meter data.

Xiufeng Liu, Per Sieverts Nielsen

Inf. Syst., 2018

Analysis and Visualization of Urban Emission Measurements in Smart Cities.

Dirk Ahlers, Frank Alexander Kraemer, Anders Eivind Braten, Xiufeng Liu, Fredrik Anthonisen, Patrick Driscoll, John Krogstie

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Recognizing Textual Entailment with Attentive Reading and Writing Operations.

Liang Liu, Huan Huo, Xiufeng Liu, Vasile Palade, Dunlu Peng, Qingkui Chen

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking.

Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas, Shichao Jin

ACM Trans. Database Syst., 2017

CITIESData: a smart city data management framework.

Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen

Knowl. Inf. Syst., 2017

A survey on scholarly data: From big data perspective.

Samiya Khan, Xiufeng Liu, Kashish Ara Shakil, Mansaf Alam

Inf. Process. Manag., 2017

A Scalable Smart Meter Data Generator Using Spark.

Nadeem Iftikhar, Xiufeng Liu, Sergiu Danalachi, Finn Ebertsen Nordbjerg, Jens Henrik Vollesen

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

Collaborative Filtering Fusing Label Features Based on SDAE.

Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

SciCloud: A Scientific Cloud and Management Platform for Smart City Data.

Xiufeng Liu, Per Sieverts Nielsen, Alfred Heller, Panagiota Gianniou

Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Air Quality Monitoring System and Benchmarking.

Xiufeng Liu, Per Sieverts Nielsen

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

Optimizing ETL by a Two-Level Data Staging Method.

Xiufeng Liu, Nadeem Iftikhar, Huan Huo, Per Sieverts Nielsen

Int. J. Data Warehous. Min., 2016

A Hybrid ICT-Solution for Smart Meter Data Analytics.

Xiufeng Liu, Per Sieverts Nielsen

CoRR, 2016

Regression-based Online Anomaly Detection for Smart Grid Data.

Xiufeng Liu, Per Sieverts Nielsen

CoRR, 2016

A Prediction-Based Smart Meter Data Generator.

Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg, Sergiu Danalachi

Proceedings of the 19th International Conference on Network-Based Information Systems, 2016

Online Anomaly Energy Consumption Detection Using Lambda Architecture.

Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

A Weighted K-AP Query Method for RSSI Based Indoor Positioning.

Huan Huo, Xiufeng Liu, Jifeng Li, Huhu Yang, Dunlu Peng, Qingkui Chen

Proceedings of the Databases Theory and Applications, 2016

2015

An ETL optimization framework using partitioning and parallelization.

Xiufeng Liu, Nadeem Iftikhar

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

SMAS: A smart meter data analytics system.

Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Benchmarking Smart Meter Data Analytics.

Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas

Proceedings of the 18th International Conference on Extending Database Technology, 2015

Relational-Based Sensor Data Cleansing.

Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg

Proceedings of the New Trends in Databases and Information Systems, 2015

2014

CloudETL: scalable dimensional ETL for hive.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Survey of real-time processing systems for big data.

Xiufeng Liu, Nadeem Iftikhar, Xike Xie

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

2013

ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Trans. Large Scale Data Knowl. Centered Syst., 2013

Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design.

Xiufeng Liu, Nadeem Iftikhar

Proceedings of the Business Information Systems - 16th International Conference, 2013

2012

MapReduce-based Dimensional ETL Made Easy.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Proc. VLDB Endow., 2012

3XL: An Efficient DBMS-Based Triple-Store.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

2011

3XL: Supporting efficient operations on very large OWL Lite triple-stores.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Inf. Syst., 2011

The ETLMR MapReduce-Based ETL Framework.

Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen

Proceedings of the Scientific and Statistical Database Management, 2011