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ORCIDBigData Conference 2022: Osaka, Japan
- Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1
- Daniel Cheriyan, Jurng-Jae Lee, Jae-Ho Choi:
Construction Worker Health and Safety Monitoring System Using Brainwave and Pollution Data. 1 - Jin-Young Choi, Eun-Ju Ha, Jae-Ho Choi:
Data Mining Approach to determine injured Area of the Construction Worker using Accident Loss Cost. 1 - Hyung-Jin Kim, Kwang-Sik Kim, Min-Seok Kim, Jang-Hyun Lee:
Development of Fault Detection Algorithm using LP Pump Failure Data. 1 - Eun-Ju Ha, Jin Young Choi, Jae-Ho Choi:
Data Mining Approach for Predicting the Fall Accident Cost in Construction Projects. 1 - Jongseok Jeon, SeungHo Kim, Joohee Oh:
How Do You Watch Music Video: "Watching or Listening?". 1 - Pedro Augusto Da S. E. S. Miranda, Plinio P. Morita:
A Proposed Personal Data Sovereignty Inter-Organizational Governance Framework for Public Health Research. 1 - Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Arnaud Soulet:
Trie-based Output Space Itemset Sampling. 6-15 - Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient Multiple Objective Optimization for Fair Misinformation Detection. 16-25 - Ghazal Fazelnia, John W. Paisley:
Probabilistic Orthogonal Matching Pursuit. 26-35 - Weimao Ke:
Alternatives to Classic BM25-IDF based on a New Information Theoretical Framework. 36-44 - Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima:
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle. 45-54 - John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou:
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations. 55-64 - Rohit P. Singh, Philip A. Wilsey:
Persistence Homology of Proximity Hyper-Graphs for Higher Dimensional Big Data. 65-74 - Gabriel Stella, Dmitri Loguinov:
On High-Latency Bowtie Data Streaming. 75-84 - Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. 85-94 - Md. Shafiul Alam, Ying Xie:
Appley: Approximate Shapley Value for Model Explainability in Linear Time. 95-100 - Prakash Chourasia, Sarwan Ali, Murray Patterson:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. 101-106 - Leonidas Fegaras, Tanvir Ahmed Khan, Md Hasanuzzaman Noor, Tanzima Sultana:
Scalable Tensors for Big Data Analytics. 107-114 - Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. 115-120 - Sreepada Tarun, Rage Uday Kiran, Yutaka Watanobe, Kazuo Goda:
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases. 121-126 - Monika Shah, Somdeb Sarkhel, Deepak Venugopal:
Evaluating Captioning Models using Markov Logic Networks. 127-134 - Weili Shi, Sheng Li:
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. 135-140 - Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, Michela Becchi:
Data Transformation Acceleration using Deterministic Finite-State Transducers. 141-150 - Carlos Ordonez:
Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries. 151-160 - Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. 161-169 - Pengfei Zhang, Ziqiang Feng, Eric Lo, Hailin Qin:
ByteStore: Hybrid Layouts for Main-Memory Column Stores. 170-179 - K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. 180-185 - Sungjae Lee, Yoonseo Hur, Subin Park, Kyungyong Lee:
PROFET: PROFiling-based CNN Training Latency ProphET for GPU Cloud Instances. 186-193 - Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, Christian Böhm:
Enhancing k-Means Algorithm with Tensor Processing Unit. 194-200 - Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar, Donald D. Cowan:
A novel self-adaptive method for improving patient monitoring with composite early-warning scores. 201-208 - Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. 209-216 - Hamid Shahrivari, Odysseas Papapetrou, George Fletcher:
Workload Prediction for Adaptive Approximate Query Processing. 217-222 - Zhenzhao Wang, Santosh Marella, Mak Inada, Pablo Rodriguez Defino, Abhishek Jagannath, Lohit Vijayarenu:
Latency vs Cost : Data Ingestion options at Twitter Scale. 223-227 - Damien T. Wojtowicz, Shaoyi Yin, Jorge Martínez Gil
, Franck Morvan, Abdelkader Hameurlain:
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. 228-233 - Ziren Xiao, Aaron Harwood, Maria A. Rodriguez:
Optimal Rate Control for Latency-constrained High Throughput Big Data Applications. 234-241 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. 242-251 - Yicheng Tu, Mehrad Eslami, Zichen Xu, Hadi Charkhgard:
Multi-Query Optimization Revisited: A Full-Query Algebraic Method. 252-261 - Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, Lalana Kagal:
Overcoming Challenges of Synthetic Data Generation. 262-270 - Neni Alya Firdausanti, Tirana Noor Fatyanosa, Mahendra Data, Israel Mendonça, Masayoshi Aritsugi:
Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes. 271-280 - Daniel Glake, Mareike Schmidt, Felix Kiehn, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter:
Operator Placement for Spatio-temporal Tasks. 281-290 - Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho:
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections. 291-300 - Thu Nguyen, Ngoc Vu, Binh Ly:
An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data. 301-308 - Jason Orender, Mohammad Zubair, Jiangwen Sun:
LASSO Logic Engine: harnessing the logic parsing capabilities of the LASSO algorithm for longitudinal feature learning. 309-318 - Owen Randall, Paul Lu:
Predicting Deduplication Performance: An Analytical Model and Empirical Evaluation. 319-328 - Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. 329-338 - Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. 339-348 - Xiaohu Zhao, Kebin Jia, Benjamin Letcher, Jennifer Fair, Yiqun Xie, Xiaowei Jia:
VIMTS: Variational-based Imputation for Multi-modal Time Series. 349-358 - Chrysovalantis Anastasiou, Seon Ho Kim, Cyrus Shahabi:
Generation of Synthetic Urban Vehicle Trajectories. 359-366 - Tao Cai, Yueming Ma, Dejiao Niu, Pengfei Gao, Tianle Lei, Jianfei Dai:
A New IoT Storage System Based on Raw NVM. 367-372 - Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, Angeliki Gantzia:
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. 373-380 - Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda:
Fast Binary Network Hashing via Graph Clustering. 381-388 - Ahmed A. Harby, Farhana H. Zulkernine:
From Data Warehouse to Lakehouse: A Comparative Review. 389-395 - Hyein Hong, Sangbong Yoo, Yejin Jin, Chanyoung Yoon, Soobin Yim, Seokhwan Choi, Yun Jang:
Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies. 396-401 - Alexandros Karakasidis, Georgia Koloniari:
Efficient Privacy Preserving Record Linkage at Scale using Apache Spark. 402-407 - Chihiro Maru, Boris Brandherm, Ichiro Kobayashi:
Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series. 408-414 - Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, Taisuke Boku:
An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs. 415-422 - Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das:
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. 423-430 - Mimi Wang, Xudong He, Peihai Zhao:
A Novel Estimate Fitness Method by Measuring A large number of Sub-event Logs Conformance. 431-436 - Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. 437-444 - Daichi Amagata:
Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data. 445-454 - Md. Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo:
MUSCAT: Multilingual Rumor Detection in Social Media Conversations. 455-464 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. 465-474 - Yijin Cai, Yilei Wang, Weijin Wang, Wenting Chen:
RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation. 475-484 - Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. 485-494 - Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. 495-504 - Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. 505-514 - Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. 515-524 - Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. 525-534 - Moghis Fereidouni, Adib Mosharrof, Umar Farooq, A. B. Siddique:
Proactive Prioritization of App Issues via Contrastive Learning. 535-544 - Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Dynamic Graph Summarization: Optimal and Scalable. 545-554 - Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. 555-564 - Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. 565-574 - Haoji Hu, Haowen Lin, Yao-Yi Chiang:
Clustering Human Mobility with Multiple Spaces. 575-584 - Tunazzina Islam, Dan Goldwasser:
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. 585-595 - Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. 596-605 - Shima Khoshraftar, Aijun An, Nastaran Babanejad:
Temporal Graph Representation Learning via Maximal Cliques. 606-615 - Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. 616-625 - Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. 626-635 - Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. 636-645 - Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao:
On Inferring User Socioeconomic Status with Mobility Records. 646-655 - Hui Xue, Bo Sun, Weixuan Mao, Jianjun Lin, Yijing Zhang, Xiaoyu Liu, Xiaodu Yang, Ziqian Chen:
Spatial Density-based User Identity Linkage across Social Networks. 656-664 - Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. 665-674 - Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang:
Abusive Language Detection with Graph based Multi-task Learning. 675-684 - Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. 685-692 - Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. 693-700 - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Sources. 701-708 - Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos, Vinícius T. de Castro Pires, Paulo M. Laurentys de Almeida, Fabricio Murai:
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs. 709-714 - Dianbin Bao, Kisung You, Lizhen Lin:
Network Distance based on Laplacian Flows on Graphs. 715-720 - Rui Fan, Tingting He, Yufan Wang, Jie Hong, Xinhui Tu:
Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction. 721-726 - Xiaochuan Gou, Peng Han, Xiangliang Zhang:
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. 727-733 - Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. 734-739 - Luis Felipe Gutiérrez, Akbar Siami Namin:
Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. 740-747 - Isaiah J. King, H. Howie Huang:
Graggle: A Graph-based Approach to Document Clustering. 748-755 - Trung-Hoang Le, Hady W. Lauw:
Question-Attentive Review-Level Recommendation Explanation. 756-761 - Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. 762-769 - Xuan Li, Li Zhang:
Neighborhood Preserving Embedding via Capsules for Collaborative Filtering. 770-775 - Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An:
Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta. 776-783 - Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. 784-791 - Pierce Smith, Sangmi Lee Pallickara, Shrideep Pallickara:
Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets. 792-799 - Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang:
Dynamic Graph Node Classification via Time Augmentation. 800-805 - Man Wu, Xingquan Zhu:
Temporal Adaptive Aggregation Network for Dynamic Graph Learning. 806-811 - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. 812-817 - Geng Zhao, Yi Huang, Chi Hsu Tsai:
FedGSL: Federated Graph Structure Learning for Local Subgraph Augmentation. 818-824 - Gary Ang, Ee-Peng Lim:
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks. 825-834 - Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. 835-843 - Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, Poonam Goyal:
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data. 844-853 - Tianwen Chen, Raymond Chi-Wing Wong:
Improving Representation Learning for Session-based Recommendation. 854-863 - Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin:
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. 864-873 - Jing Chen, Germán Creamer, Yue Ning:
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. 874-883 - Ebba Ekblom, Edvin Listo Zec, Olof Mogren:
EFFGAN: Ensembles of fine-tuned federated GANs. 884-892 - Lubna Eljabu, Mohammad Etemad, Stan Matwin:
Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. 893-902 - Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. 903-910 - Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
Heterogeneity-Aware Adaptive Federated Learning Scheduling. 911-920 - Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou:
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. 921-930 - Po-Wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket. 931-941 - Andrew Hill, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani:
Semi-supervised Embedding for Scalable and Accurate Time Series Clustering. 942-951