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ORCIDIEEE Transactions on Big Data, Volume 6
Volume 6, Number 1, March 2020
- Qiang Yang:
Message From the Outgoing Editor-in-Chief. 1 - Jie Tang
:
Message from the Incoming Editor-in-Chief. 2 - Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. 3-28 - Guyue Han, Harish Sethu:
Closed Walk Sampler: An Efficient Method for Estimating Eigenvalues of Large Graphs. 29-42 - Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Avino, Marco Malinverno, Scott Kirkpatrick:
From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC. 43-50 - Mohsen Joneidi, Alireza Zaeemzadeh, Behzad Shahrasbi, Guo-Jun Qi, Nazanin Rahnavard:
E-Optimal Sensor Selection for Compressive Sensing-Based Purposes. 51-65 - Ruiyuan Li, Sijie Ruan, Jie Bao, Yanhua Li, Yingcai Wu, Liang Hong, Yu Zheng:
Efficient Path Query Processing Over Massive Trajectories on the Cloud. 66-79 - Alexandre Perrot, David Auber:
Cornac: Tackling Huge Graph Visualization with Big Data Infrastructure. 80-92 - Pengcheng Zhang, Yangyang Jia, Jerry Gao, Wei Song, Hareton Leung:
Short-Term Rainfall Forecasting Using Multi-Layer Perceptron. 93-106 - Arpan Man Sainju, Danial Aghajarian, Zhe Jiang, Sushil K. Prasad:
Parallel Grid-Based Colocation Mining Algorithms on GPUs for Big Spatial Event Data. 107-118 - Jicong Fan, Mingbo Zhao, Tommy W. S. Chow:
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization. 119-130 - Huangke Chen, Jinming Wen, Witold Pedrycz, Guohua Wu:
Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds. 131-144 - Xun Zhou, Huigui Rong, Chang Yang, Qun Zhang, Amin Vahedian Khezerlou, Hui Zheng, Zubair Shafiq, Alex X. Liu:
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach. 145-158 - Brandon Lwowski, Paul Rad, Kim-Kwang Raymond Choo:
Geospatial Event Detection by Grouping Emotion Contagion in Social Media. 159-170 - Ran Xu, Yong Li, Sheng Chen:
On the Opportunistic Topology of Taxi Networks in Urban Mobility Environment. 171-188 - Jiujun Cheng, Minjun Chen, MengChu Zhou, Shangce Gao, Chunmei Liu, Cong Liu:
Overlapping Community Change-Point Detection in an Evolving Network. 189-200 - Szu-Yu Chou, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback. 201-208
Volume 6, Number 2, June 2020
- Yang Yang, Jie Li, Cheng-Xiang Wang, Olav Tirkkonen, Ming-Tuo Zhou:
Special Issue on Wireless Big Data. 209-210 - Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou:
A Big Data Enabled Channel Model for 5G Wireless Communication Systems. 211-222 - Yupeng Li, Jianhua Zhang, Zhanyu Ma, Yu Zhang:
Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model. 223-232 - Ruidong Li, Hitoshi Asaeda:
MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme. 233-247 - Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li:
Incremental Deep Computation Model for Wireless Big Data Feature Learning. 248-257 - Yu Gu, Yifan Zhang, Jie Li, Yusheng Ji, Xin An, Fuji Ren:
Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices. 258-268 - Weijia Jia, Hongjian Peng, Na Ruan, Zhiqing Tang, Wei Zhao:
WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features. 269-282 - Miao Du, Kun Wang, Zhuoqun Xia, Yan Zhang:
Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing. 283-295 - Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu:
Extracting Medical Knowledge from Crowdsourced Question Answering Website. 309-321 - Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji:
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. 322-333 - Jianqiang Li, Lu Liu, Jingchao Sun, Haowen Mo, Ji-Jiang Yang, Shi Chen, Huiting Liu, Qing Wang, Hui Pan:
Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants. 334-346 - Abdelmounaam Rezgui, Nickolas Davis, Zaki Malik, Brahim Medjahed, Hamdy S. Soliman:
CloudFinder: A System for Processing Big Data Workloads on Volunteered Federated Clouds. 347-358 - Debopriya Ghosh, Javier Cabrera, Tarek N. Adam, Petros Levounis, Nabil R. Adam:
Comorbidity Patterns and Its Impact on Health Outcomes: Two-Way Clustering Analysis. 359-368 - Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Kira: Processing Astronomy Imagery Using Big Data Technology. 369-381 - Vasilis Efthymiou, Kostas Stefanidis, Vassilis Christophides:
Benchmarking Blocking Algorithms for Web Entities. 382-395 - Kai Hildebrandt, Fabian Panse, Niklas Wilcke, Norbert Ritter:
Large-Scale Data Pollution with Apache Spark. 396-411 - Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:
On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters. 412-426
Volume 6, Number 3, September 2020
- Mihai Datcu, Jacqueline Le Moigne, Sveinung Loekken, Pierre Soille, Gui-Song Xia:
Special Issue on Big Data From Space. 427-429 - Giulio Coluccia, Cinzia Lastri, Donatella Guzzi, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Ivan Pippi, Valentina Raimondi, Chiara Ravazzi, Florin Garoi, Daniela Coltuc, Raffaele Vitulli, Alessandro Zuccaro Marchi:
Optical Compressive Imaging Technologies for Space Big Data. 430-442 - Clémentine Barreyre, Béatrice Laurent, Jean-Michel Loubes, Loïc Boussouf, Bertrand Cabon:
Multiple Testing for Outlier Detection in Space Telemetries. 443-451 - Ruben De March, Chiara Leuzzi, Maurizio Deffacis, Francesco Caronte, Angelo Fabio Mulone, Rosario Messineo:
Innovative Approach for PMM Data Processing and Analytics. 452-459 - Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Jean-Luc Starck, Panagiotis Tsakalides:
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data. 460-476 - Mariem Brahem, Karine Zeitouni, Laurent Yeh:
ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark. 477-491 - Yonghao Xu, Bo Du, Liangpei Zhang:
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification. 492-506 - Xin-Yi Tong, Gui-Song Xia, Fan Hu, Yanfei Zhong, Mihai Datcu, Liangpei Zhang:
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation. 507-521 - Fan Hu, Gui-Song Xia, Wen Yang, Liangpei Zhang:
Mining Deep Semantic Representations for Scene Classification of High-Resolution Remote Sensing Imagery. 522-536 - João Paulo da Silva, Jurandir Zullo Jr., Luciana Alvim Santos Romani:
A Time Series Mining Approach for Agricultural Area Detection. 537-546 - Vasileios Syrris, Christina Corbane, Martino Pesaresi, Pierre Soille:
Mosaicking Copernicus Sentinel-1 Data at Global Scale. 547-557 - Ivana Zinno, Manuela Bonano, Sabatino Buonanno, Francesco Casu, Claudio De Luca, Michele Manunta, Mariarosaria Manzo, Riccardo Lanari:
National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment. 558-571 - Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, Leonid Shumilo, Andrii Kolotii, Bohdan Yailymov, Nataliia Kussul, Hanna Yailymova:
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. 572-582 - Raúl Zurita-Milla, Romulo Goncalves, Emma Izquierdo-Verdiguier, Frank O. Ostermann:
Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics. 583-593 - Zhanyu Ma, Jiyang Xie, Hailong Li, Qie Sun, Fredrik Wallin, Zhongwei Si, Jun Guo:
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction. 594-605
Volume 6, Number 4, December 2020
- Shiyan Hu, Xin Li, Haibo He, Shuguang Cui, Manish Parashar:
Big Data for Cyber-Physical Systems. 606-608 - Mohamed Ibrahim, Krishnendu Chakrabarty, Jun Zeng:
BioCyBig: A Cyberphysical System for Integrative Microfluidics-Driven Analysis of Genomic Association Studies. 609-623 - Zubair Shah, Adnan Anwar, Abdun Naser Mahmood, Zahir Tari, Albert Y. Zomaya:
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid. 624-637 - R. Lily Hu, Ryan Skorupski, Robert Entriken, Yinyu Ye:
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid. 638-651 - Md. Zakirul Alam Bhuiyan, Jie Wu, Gary M. Weiss, Thaier Hayajneh, Tian Wang, Guojun Wang:
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems. 652-665 - Xiaokang Wang, Laurence T. Yang, Xingyu Chen, Lizhe Wang, Rajiv Ranjan, Xiaodao Chen, M. Jamal Deen:
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems. 666-678 - Chao Huang, Dong Wang, Jun Tao, Brian Mann:
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services. 679-690 - Kazunori Sakurama:
Control of Large-Scale Cyber-Physical Systems with Agents Having Various Dynamics. 691-701 - Chao Huang, Dong Wang, Nitesh V. Chawla:
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems. 702-713 - Dániel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti:
Towards Matching User Mobility Traces in Large-Scale Datasets. 714-726 - Antonia Gogoglou, Yannis Manolopoulos:
A Data-Driven Unified Framework for Predicting Citation Dynamics. 727-740 - Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen:
Product Supply Optimization for Crowdfunding Campaigns. 741-756 - Xiaoping Zhou, Xun Liang, Zhi Tang:
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory. 757-769 - Wei Dai, Qing Zhang, Weike Pan, Zhong Ming:
Transfer to Rank for Top-N Recommendation. 770-779 - Ke Gu, Xin Xu, Junfei Qiao, Qiuping Jiang, Weisi Lin, Daniel Thalmann:
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances. 780-791 - Die Hu, Dan Feng, Yulai Xie, Gongming Xu, Xinrui Gu, Darrell D. E. Long:
Efficient Provenance Management via Clustering and Hybrid Storage in Big Data Environments. 792-803 - Ehab Zaghloul, Kai Zhou, Jian Ren:
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing. 804-815 - Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. 816-829
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