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ORCIDBigData Conference 2021: Orlando, FL, USA
- Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 - Brandon Foggo, Nanpeng Yu
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Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. 7-16 - So Hirai, Kenji Yamanishi:
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. 17-27 - Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. 28-39 - Colin Stephen:
A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences. 40-50 - Wesley Lin:
YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management. 51-57 - Peng Zhao, Guanyu Hu:
Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings. 58-64 - Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 65-75 - Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. 76-85 - Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. 86-97 - Qiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert B. Ross, Suren Byna:
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables. 98-108 - Kevin Kocon, Pascal Bormann:
Point cloud indexing using Big Data technologies. 109-119 - Nikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, Nectarios Koziris:
Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics. 120-130 - Md Hasanuzzaman Noor, Leonidas Fegaras:
Translation of Array-Based Graph Programs to Spark SQL on Block Arrays. 131-140 - Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles:
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. 141-152 - Guoyi Zhao, Tian Zhou, Lixin Gao:
CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches. 153-163 - Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. 164-173 - Hiroshi Inoue:
Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision. 174-180 - Víctor Rampérez, Shima Zahmatkesh, Emanuele Della Valle:
Scaling the monitoring of approximate top-k queries in streaming windows. 181-189 - Henriette Röger, Sukanya Bhowmik, Tobias Linn:
A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures. 190-196 - Yiming Bian, Arun K. Somani:
An Efficient Systematic Approach to Find All Cyclic Quorum Sets with All-pairs Property. 197-206 - George Constantinou, Cyrus Shahabi, Seon Ho Kim:
Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis. 207-218 - Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios:
MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution. 219-228 - Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho:
A Visual Analytics Framework for Distributed Data Analysis Systems. 229-240 - Mohamed Ragab, Feras M. Awaysheh, Riccardo Tommasini:
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. 241-251 - R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. 252-262 - Khoi Duy Vo, Sergej Zerr, Xiaofei Zhu, Wolfgang Nejdl:
Efficient Scalable Temporal Web Graph Store. 263-273 - Wenlu Wang, Chen Pan:
Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction. 274-283 - Brian Wheatman, Randal C. Burns:
Streaming Sparse Graphs using Efficient Dynamic Sets. 284-294 - Huijuan Zhang, Lipeng Liang, Dongqing Wang:
Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network. 295-305 - Albert Asratyan, Sina Sheikholeslami, Vladimir Vlassov:
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. 306-314 - Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens:
In Situ Adaptive Spatio-Temporal Data Summarization. 315-321 - Robert J. Fitzgerald, Farnoush Banaei Kashani:
City-Scale System-Optimal Route Planning with Route Replanning. 322-327 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati:
Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectiveness. 327-3283 - Xiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu, Aduri Pavan:
Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization. 328-334 - Nguyen Ho, Van Long Ho, Torben Bach Pedersen, Mai Vu:
Efficient and Distributed Temporal Pattern Mining. 335-343 - Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi:
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning. 344-349 - Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. 350-358 - Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. 359-367 - Hang Nguyen, Md. Yusuf Sarwar Uddin, Nalini Venkatasubramanian:
REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems. 368-375 - Dai Hai Ton That, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik:
LDI: Learned Distribution Index for Column Stores. 376-387 - Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. 388-399 - Zishi Deng, Torsten Suel:
Optimizing Iterative Algorithms for Social Network Sharding. 400-408 - Negin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, Shishir Kumar Prasad:
Tensor-based Complementary Product Recommendation. 409-415 - Kuan Feng, Yanmin Zhu, Jiadi Yu:
Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor. 416-426 - Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu:
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. 427-436 - Benedetta Iavarone, Anna Monreale:
From depression to suicidal discourse on Reddit. 437-445 - Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea:
Federated Meta-Location Learning for Fine-Grained Location Prediction. 446-456 - Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. 457-468 - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. 469-479 - Saurav Manchanda, Da Zheng, George Karypis:
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. 480-489 - Ahmadreza Mosallanezhad, Kai Shu, Huan Liu:
Generating Topic-Preserving Synthetic News. 490-499 - Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu:
HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. 500-509 - Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. 510-518 - Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo:
GLOW : Global Weighted Self-Attention Network for Web Search. 519-528 - Daniel Tschernutter, Stefan Feuerriegel:
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. 529-539 - Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. 540-549 - Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NeuralCubes: Deep Representations for Visual Data Exploration. 550-561 - Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen D. Wilson, Linda R. Petzold:
An Analysis of Relation Extraction within Sentences from Wet Lab Protocols. 562-570 - Tiantian Zhang, Xin Mao, Dejian Li, Meirong Ma, Hao Yuan, Jianchao Zhu, Man Lan:
Target-dependent Event Detection: A New Task to Event Extraction from News. 571-580 - Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. 581-589 - Ziqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, Bo Liu:
Understanding User Topic Preferences across Multiple Social Networks. 590-599 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. 600-606 - Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. 607-613 - Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. 614-621 - Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui:
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability. 622-628 - Yikai Huang, Zhili Yao, Jianlin Feng:
P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data. 629-634 - Bo Hui, Da Yan, Wei-Shinn Ku:
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. 636-642 - Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang:
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. 643-652 - Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, Yannan Xie:
CONAN: Contrastive Fusion Networks for Multi-view Clustering. 653-660 - Prabin B. Lamichhane, William Eberle:
Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept. 661-667 - Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber, Cameron Fiddes, Elaine Chen, Kai Shu:
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. 668-676 - Saurav Manchanda, Mohit Sharma, George Karypis:
Distant-Supervised Slot-Filling for E-Commerce Queries. 677-686 - Guanyi Mou, Kyumin Lee:
An Effective, Robust and Fairness-aware Hate Speech Detection Framework. 687-697 - Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys:
A study on the calibration of fingerprint classifiers. 698-704 - Raed Alharbi, Minh N. Vu, My T. Thai:
Learning Interpretation with Explainable Knowledge Distillation. 705-714 - Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. 715-724 - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. 725-734 - Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. 735-745 - Yu Huang, Chao Zhang, Jaswanth K. Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom:
GraSSNet: Graph Soft Sensing Neural Networks. 746-756 - Nushrat Humaira, Saber Sadeghi Tabas, S. Samadi, Nina C. Hubig:
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. 757-767 - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. 768-778 - Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. 779-789 - Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal:
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. 790-800 - Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis:
Gen2Out: Detecting and Ranking Generalized Anomalies. 801-811 - Sicong Liang, Chang Deng, Yu Zhang:
A Simple Approach to Balance Task Loss in Multi-Task Learning. 812-823 - Mingzhe Liu, Bowen Du, Leilei Sun:
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence. 824-833 - Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. 834-846 - Yangdi Lu, Wenbo He:
MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbors. 847-856 - Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton:
A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction. 857-866 - Hadi Mansourifar, Weidong Shi:
Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification. 867-875 - Guanyi Mou, Yichuan Li, Kyumin Lee:
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. 876-887 - Rameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni:
Feature Hashing with Insertion and Deletion of Features. 888-898 - Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang:
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok. 899-908 - Xiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, Lei Zhang:
Weather radar echo prediction method based on recurrent convolutional neural network. 909-916 - Sanjana Srinivas, Mahima Agumbe Suresh:
Faster Depth Estimation for Situational Awareness on Urban Streets. 917-926 - Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai:
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. 927-937 - Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. 938-947 - Huiyu Wu, Diego Klabjan:
Logit-based Uncertainty Measure in Classification. 948-956 - Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Human-like Explanation for Text Classification With Limited Attention Supervision. 957-967 - Zihan Zhou, Mingxuan Sun:
Multivariate Hawkes Processes for Incomplete Biased Data. 968-977 - Md. Adnan Arefeen, Sumaiya Tabassum Nimi, Md. Yusuf Sarwar Uddin, Yugyung Lee:
TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks. 978-984 - Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
RLAC: Random Line Approximation Clustering. 985-993 - Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). 994-1001 - Zhun Deng, Jiaoyang Huang, Kenji Kawaguchi:
How Shrinking Gradient Noise Helps the Performance of Neural Networks. 1002-1007 - Wenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, Yatian Shen:
Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling. 1008-1014 - Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang:
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. 1015-1022 - Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. 1023-1029 - Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Graph Compression Networks. 1030-1036 - Haiyang He, Xiaolin Li, Zhihong Wang, Shiguo Huang:
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection. 1037-1044 - Alexander He, Thilanka Munasinghe:
Chronic Respiratory Disease: Risk Modeling Potential and Limitations. 1045-1053 - Dennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian:
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window. 1054-1060 - Md. Majedul Islam, Avishek Das, Ibna Kowsar, A. K. M. Shahariar Azad Rabby, Nazmul Hasan, Fuad Rahman:
Towards building a Bangla text recognition solution with a Multi-Headed CNN architecture. 1061-1067 - Alexander F. Lapanowski, Irina Gaynanova:
Compressing large sample data for discriminant analysis. 1068-1076 - Hangyue Li, Xucheng Luo, Qinze Yu, Haoran Wang:
Session-based Recommendation via Contrastive Learning on Heterogeneous Graph. 1077-1082 - Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. 1083-1091 - Nikodimos Provatas, Ioannis Konstantinou, Nectarios Koziris:
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? 1092-1101 - Wenting Qi, Charalampos Chelmis:
Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data. 1102-1108 - Taruna Seth, Vipin Chaudhary:
A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data. 1109-1118