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ORCIDIEEE Transactions on Big Data, Volume 7
Volume 7, Number 1, March 2021
- Yuxiao Dong
, Marinka Zitnik:
Guest Editorial: AI for COVID-19. 1-2 - Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. 3-12 - Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You:
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. 13-24 - Jeremy Zucker, Kaushal Paneri, Sara Mohammad Taheri, Somya Bhargava, Pallavi Kolambkar, Craig Bakker, Jeremy Teuton, Charles Tapley Hoyt, Kristie L. Oxford, Robert Osazuwa Ness, Olga Vitek:
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis. 25-37 - Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. 38-44 - Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì:
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak. 45-55 - Rodrigo Minetto, Maurício Pamplona Segundo, Gilbert Rotich, Sudeep Sarkar:
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic. 56-68 - Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Hezhao Zhang, Anfan Chen, Ying Ding:
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements. 69-80 - Huimin Chen, Zeyu Zhu, Fanchao Qi, Yining Ye, Zhiyuan Liu, Maosong Sun, Jianbin Jin:
Country Image in COVID-19 Pandemic: A Case Study of China. 81-92 - Junhong Xu, Shangyue Zhu, Hanqing Guo, Shaoen Wu:
Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data. 93-101 - Joelson Antônio dos Santos, Syed Talat Iqbal, Murilo Coelho Naldi, Ricardo J. G. B. Campello, Joerg Sander:
Hierarchical Density-Based Clustering Using MapReduce. 102-114 - Subhajit Sidhanta, Wojciech M. Golab, Supratik Mukhopadhyay:
Deadline-Aware Cost Optimization for Spark. 115-127 - Nguyen Ho, Huy T. Vo, Mai Vu, Torben Bach Pedersen:
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data. 128-146 - Donghui Yan, Yingjie Wang, Jin Wang, Honggang Wang, Zhenpeng Li:
K-Nearest Neighbor Search by Random Projection Forests. 147-157 - Donghui Yan, Yingjie Wang, Jin Wang, Guodong Wu, Honggang Wang:
Fast Communication-Efficient Spectral Clustering over Distributed Data. 158-168 - Martin Koehler, Edward Abel, Alex Bogatu, Cristina Civili, Lacramioara Mazilu, Nikolaos Konstantinou, Alvaro A. A. Fernandes, John A. Keane, Leonid Libkin, Norman W. Paton:
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling. 169-186 - Yixin Chen, Dongsheng Li, Yu Hua, Wenbo He:
Effective and Efficient Content Redundancy Detection of Web Videos. 187-198 - Xiao Xue, Shuai Huangfu, Lejun Zhang, Shufang Wang:
Research on Escaping the Big-Data Traps in O2O Service Recommendation Strategy. 199-213 - Yao-Tung Tsou, Hung-Li Chen, Jia-Yang Chen:
RoD: Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy. 214-226 - Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang:
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. 227-240
Volume 7, Number 2, June 2021
- Christian Böhm, Martin Perdacher, Claudia Plant:
A Novel Hilbert Curve for Cache-Locality Preserving Loops. 241-254 - Heqing Huang, Cong Zheng, Junyuan Zeng, Wu Zhou, Sencun Zhu, Peng Liu, Ian M. Molloy, Suresh Chari, Ce Zhang, Quanlong Guan:
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform. 255-270 - Mohammed Aledhari, Marianne Di Pierro, Mohamed Hefeida, Fahad Saeed:
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. 271-284 - Ruslan Mavlyutov, Philippe Cudré-Mauroux:
Managing Big Interval Data with CINTIA: The Checkpoint INTerval Array. 285-298 - Vincenzo Gulisano, Yiannis Nikolakopoulos, Marina Papatriantafilou, Philippas Tsigas:
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join. 299-312 - Ruobing Jiang, Zhenni Feng, Desheng Zhang, Shuai Wang, Yanmin Zhu, Fan Zhang, Tian He:
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks. 313-326 - Wei Emma Zhang, Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Xiujuan Xu, Jian Yang:
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data. 327-340 - Huazhong Liu, Laurence T. Yang, Yimu Guo, Xia Xie, Jianhua Ma:
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data. 341-354 - Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Fusing Location Data for Depression Prediction. 355-370 - Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie:
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories. 371-382 - Sudip Vhaduri, Christian Poellabauer:
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data. 383-396 - Ghassan F. Bati, Vivek K. Singh:
Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns. 397-406 - Ning Wang, Jie Wu:
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing. 407-420 - Fei Chen, Donghong Wang, Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wei Yu, Jing Qin:
Towards Dynamic Verifiable Pattern Matching. 421-435 - Salima Benbernou, Xin Huang, Mourad Ouziri:
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data. 436-450 - Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada:
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data. 451-467 - Besma Khalfi, Cyril de Runz, Sami Faïz, Herman Akdag:
A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment. 468-482
Volume 7, Number 3, July 2021
- Bruno Schneider, Dominik Jäckle, Florian Stoffel, Alexandra Diehl, Johannes Fuchs, Daniel A. Keim:
Integrating Data and Model Space in Ensemble Learning by Visual Analytics. 483-496 - Daniel Seebacher, Johannes Häußler, Michael Hundt, Manuel Stein, Hannes Müller, Ulrich Engelke, Daniel A. Keim:
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species. 497-509 - Mohammad Raji, John Duggan, Blaise DeCotes, Jian Huang, Bradley T. Vander Zanden:
Modeling and Visualizing Student Flow. 510-523 - Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips:
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. 524-534 - Jeff Johnson, Matthijs Douze, Hervé Jégou:
Billion-Scale Similarity Search with GPUs. 535-547 - Zenan Ling, Robert C. Qiu, Xing He, Lei Chu:
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location. 548-558 - Zhili Zhou, Q. M. Jonathan Wu, Xingming Sun:
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search. 559-573 - Liangtian Wan, Yuyuan Yuan, Feng Xia, Huan Liu:
To Your Surprise: Identifying Serendipitous Collaborators. 574-589 - Long Zheng, Xianliang Li, Xi Ge, Xiaofei Liao, Zhiyuan Shao, Hai Jin, Qiang-Sheng Hua:
Efficient Graph Processing with Invalid Update Filtration. 590-602 - Fei Wen, Lei Chu, Rendong Ying, Peilin Liu:
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis. 603-609
Volume 7, Number 4, September 2021
- Yucheng Dong, Zhaogang Ding, Francisco Chiclana, Enrique Herrera-Viedma:
Dynamics of Public Opinions in an Online and Offline Social Network. 610-618 - Xiongwei Fei, Kenli Li, Wangdong Yang, Keqin Li:
Velocity-Aware Parallel Encryption Algorithm with Low Energy Consumption for Streams. 619-631 - Zhou Su, Qichao Xu:
Security-Aware Resource Allocation for Mobile Social Big Data: A Matching-Coalitional Game Solution. 632-642 - Xiaotong Wu, Taotao Wu, Maqbool Khan, Qiang Ni, Wanchun Dou:
Game Theory Based Correlated Privacy Preserving Analysis in Big Data. 643-656 - Kun Wang, Jiahui Yu, Xiulong Liu, Song Guo:
A Pre-Authentication Approach to Proxy Re-Encryption in Big Data Context. 657-667 - Jian Shen, Dengzhi Liu, Qi Liu, Xingming Sun, Yan Zhang:
Secure Authentication in Cloud Big Data with Hierarchical Attribute Authorization Structure. 668-677 - Keke Gai, Meikang Qiu, Hui Zhao:
Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing. 678-688 - Ke Cheng, Liangmin Wang, Yulong Shen, Hua Wang, Yongzhi Wang, Xiaohong Jiang, Hong Zhong:
Secure $k$k-NN Query on Encrypted Cloud Data with Multiple Keys. 689-702 - Tran Phuong Thao, Mohammad Shahriar Rahman, Md. Zakirul Alam Bhuiyan, Ayumu Kubota, Shinsaku Kiyomoto, Kazumasa Omote:
Optimizing Share Size in Efficient and Robust Secret Sharing Scheme for Big Data. 703-716 - Yushu Zhang, Jiantao Zhou, Yong Xiang, Leo Yu Zhang, Fei Chen, Shaoning Pang, Xiaofeng Liao:
Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds. 717-728 - Xinyu Yang, Teng Wang, Xuebin Ren, Wei Yu:
Survey on Improving Data Utility in Differentially Private Sequential Data Publishing. 729-749 - Min Chen, Xiaobo Shi, Yin Zhang, Di Wu, Mohsen Guizani:
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network. 750-758 - Wei Zhou, Jiankun Hu, Song Wang:
Enhanced Locality-Sensitive Hashing for Fingerprint Forensics Over Large Multi-Sensor Databases. 759-769 - Lei Xu, Chunxiao Jiang, Yi Qian, Jianhua Li, Youjian Zhao, Yong Ren:
Privacy-Accuracy Trade-Off in Differentially-Private Distributed Classification: A Game Theoretical Approach. 770-783 - Jianwei Chen, Huadong Ma, Dong Zhao, Liang Liu:
Correlated Differential Privacy Protection for Mobile Crowdsensing. 784-795 - Changqing Luo, Kaijin Zhang, Sergio Salinas, Pan Li:
SecFact: Secure Large-scale QR and LU Factorizations. 796-807 - Jun Feng, Laurence T. Yang, Guohui Dai, Jinjun Chen, Zheng Yan:
An Improved Secure High-Order-Lanczos Based Orthogonal Tensor SVD for Outsourced Cyber-Physical-Social Big Data Reduction. 808-818
Volume 7, Number 5, November 2021
- Cao Xiao, Shouyi Wang, Leonidas D. Iasemidis, Stephen Wong, Wanpracha Art Chaovalitwongse:
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction. 819-831 - Chandresh Kumar Maurya, Durga Toshniwal, Gopalan Vijendran Venkoparao:
Distributed Sparse Class-Imbalance Learning and Its Applications. 832-844 - Zengpeng Li, Chunguang Ma, Ding Wang:
Leakage Resilient Leveled FHE on Multiple Bits Message. 845-858 - Daniel Zhang, Yang Zhang, Qi Li, Dong Wang:
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks. 859-872 - Jiaqiang Liu, Huan Yan, Yong Li, Dmytro Karamshuk, Nishanth Sastry, Di Wu, Depeng Jin:
Discovering and Understanding Geographical Video Viewing Patterns in Urban Neighborhoods. 873-884 - Paolo Soda, Rosa Sicilia, Ludovica Acciai, Giulio Iannello:
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series. 885-892 - Farhad Farokhi:
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. 893-899
Volume 7, Number 6, December 2021
- Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, Zhenhui Li:
Citywide Traffic Volume Inference with Surveillance Camera Records. 900-912 - Tao Shang, Feng Zhang, Xingyue Chen, Jianwei Liu, Xinxi Lu:
Identity-Based Dynamic Data Auditing for Big Data Storage. 913-921 - Batsergelen Myagmar, Jie Li, Shigetomo Kimura:
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace. 922-929 - Manu Shukla, Dinesh Dharme, Pallavi Ramnarain, Ray Dos Santos, Chang-Tien Lu:
DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce. 930-951 - Hanjia Lyu, Long Chen, Yu Wang, Jiebo Luo:
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19. 952-960 - Sakineh Yazdanparast, Mohsen Jamalabdollahi, Timothy C. Havens:
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation. 961-966 - Xiao Hu, Hui Zhang, Chunming Yang, Xujian Zhao, Bo Li:
Regularized Spectral Clustering With Entropy Perturbation. 967-972 - Zhengjun Cao, Olivier Markowitch:
Comment on "Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations". 973-974 - Xiong Li, Shanpeng Liu, Rongxing Lu, Xiaosong Zhang:
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage. 975-977
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