IEEE Big Data 2019 Accepted Papers
Regular Papers
Paper ID | Regular Papers |
BigD226 | Ahmed Lasisi, Antonio Merheb, Allan Zarembski, and Nii Attoh-Okine, Rail Track Quality and T-Stochastic Neighbor Embedding for Hybrid Track Index |
BigD244 | Ronald Barber, Christian Garcia-Arellano, Ronen Grosman, Guy Lohman, C. Mohan, Rene Muller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle, Adam Storm, Yuanyuan Tian, Pinar Tozun, and Yingjun Wu, WiSer: A Highly Available HTAP DBMS for IoT Applications |
BigD262 | Hankui Peng and Nicos Pavlidis, Subspace Clustering with Active Learning |
BigD266 | Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, and Philip S. Yu, JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation |
BigD271 | Wei Xiao, Novel Online Algorithms for Nonparametric Correlations with Application to Analyze Sensor Data |
BigD274 | Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, and Jun Zhou, DSSLP: A distributed framework for semi-supervised link prediction |
BigD277 | Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, and Ross Maciejewski, Origin: Non-Rigid Network Alignment |
BigD280 | FNU Hairi, Hanghang Tong, and Lei Ying, NetDyna: Mining Networked Coevolving Time Series with Missing Values |
BigD286 | Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis Georgoulis, Dustin Kempton, Sushant Mahajan, and Rafal Angryk, Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data |
BigD297 | Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou, Avrilia Floratou, and Nectarios Koziris, General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones |
BigD301 | Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok Choudhary, Richard Archibald, and Wei-keng Liao, Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time |
BigD302 | Chen Lin, Julie Ivy, and Min Chi, Multi-layer Facial Representation Learning for Early Prediction of Septic Shock |
BigD303 | Feng Yu and Wen-Chi Hou, CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopses |
BigD306 | Qiyao Wang, Haiyan Wang, Chetan Gupta, and Susumu Serita, Regularized Operating Envelope with Interpretability and Implementability Constraints |
BigD308 | Yuxin Wen, Jizhou Huang, Chongli Zhu, Miao Fan, and Ying Li, Learning to Discover Curbside Parking Spaces from Vehicle Trajectories |
BigD312 | Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, and Jincai Huang, Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss |
BigD316 | Jiahao Ding, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, and Miao Pan, Differentially Private Robust ADMM for Distributed Machine Learning |
BigD332 | Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, and Ling Liu, Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks |
BigD338 | Andrew Tritt, Oliver Rübel, Benjamin Dichter, Ryan Ly, Edward Chang, Donghe Kang, Loren Frank, and Kristofer Bouchard, HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards |
BigD341 | Sunny Dhamnani, Dhruv Singal, Ritwik Sinha, M Tharun, and Manish Dash, RAPID: Rapid and Precise Interpretable Decision Sets |
BigD343 | Qizhong Mao, Steven Jacobs, Waleed Amjad, Vagelis Hristidis, Vassilis J. Tsotras, and Neal E. Young, Experimental Evaluation of Bounded-Depth LSM Merge Policies |
BigD344 | Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, and Xin Liu, Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration |
BigD345 | Hyunsik Jeon, Bonhun Koo, and U Kang, Data Context Adaptation for Accurate Recommendation with Additional Information |
BigD349 | Zhiyuan Wu, Yue Wang, and Lin Zhang, MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction |
BigD352 | Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, and Yuanchun Zhou, Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding |
BigD360 | Muhao Chen, Changping Meng, Gang Huang, and Carlo Zaniolo, Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia |
BigD362 | Lihui Liu, Boxin Du, Jiejun Xu, and Hanghang Tong, G-Finder: Approximate Attributed Subgraph Matching |
BigD367 | Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, and Dingwen Tao, Elastic Executor Provisioning for Iterative Workloads on Apache Spark |
BigD368 | Ahmed El-Kishky, Frank Xu, Aston Zhang, and Jiawei Han, Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings |
BigD369 | Wei Zhou, K. Preston White, and Hongfeng Yu, Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning |
BigD372 | Justus Hibshman, Satyaki Sikdar, and Tim Weninger, Towards Interpretable Graph Modeling with Vertex Replacement Grammars |
BigD377 | Abbas Mazloumi, Xiaolin Jiang, and Rajiv Gupta, MultiLyra: Scalable Distributed Evaluation of Batches of Iterative Graph Queries |
BigD378 | Huanrui Luo, Ning Yang, and Philip S. Yu, Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations |
BigD380 | Shunsuke Kanda and Yasuo Tabei, b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches |
BigD392 | Jian Wen, Zhongbao Zhang, Zichang Yin, Li Sun, Sen Su, and Philip S. Yu, DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation |
BigD403 | Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, and Dongwon Lee, Predicting Influence Probabilities using Graph Convolutional Networks |
BigD404 | Yufan Wang, Tingting He, Rui Fan, Wenji Zhou, and Xinhui Tu, Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model |
BigD420 | Huiyuan Chen and Jing Li, Finding Stable Clustering for Noisy Data via Structure-aware Representation |
BigD423 | Son Nguyen, Tung Nguyen, Linh Ngo, and Khoat Than, Infinite Dropout for training Bayesian models from data streams |
BigD424 | Benedikt Boenninghoff, Steffen Hessler, Dorothea Kolossa, and Robert Nickel, Explainable Authorship Verification in Social Media via Attention-based Similarity Learning |
BigD433 | Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, and Jiawei Han, Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach |
BigD437 | Wafaa Mebrek, Badran Raddaoui, and Mohamad AlBilani, On Relaxing Failing Queries over RDF Databases |
BigD452 | Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, and Dingwen Tao, Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster |
BigD457 | Huiyuan Chen and Jing Li, Collaborative Ranking Tags and Items via Cross-domain Recommendation |
BigD458 | Kun Feng, Hariharan Devarajan, Anthony Kougkas, and Xian-He Sun, NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows |
BigD461 | Rongzhe Wei, Bo Dong, Kuanzheng Yang, Huan He, Qinghua Zheng, and Jianfei Ruan, ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification |
BigD462 | Kentaroh Toyoda and Allan N. Zhang, Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform |
BigD474 | Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, and Viktor K. Prasanna, RecANt: Network-based Recruitment for Active Fake News Correction |
BigD482 | Minh Huong Le Nguyen, Heitor Murilo Gomes, and Albert Bifet, Semi-supervised Learning over Streaming Data using MOA |
BigD484 | Heitor Murilo Gomes, Rodrigo Mello, Bernhard Pfahringer, and Albert Bifet, Feature Scoring using Tree-Based Ensembles for Evolving Data Streams |
BigD486 | Yuxin Xiao, Zecheng Zhang, Carl Yang, and ChengXiang Zhai, Non-local Attention Learning on Large Heterogeneous Information Networks |
BigD489 | Daqi Gao and Jingguang Zhang, Pseudo-Inverse Linear Discriminants for Highly Imbalanced Big Datasets |
BigD492 | Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin, Pangfeng Liu, and Jan-Jan Wu, A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction |
BigD499 | Conghui He, Shijie Sun, Benli Li, Xiaogang Tu, and Donghai Yu, Finding Mutual X at WeChat-Scale Social Network in Ten Minitues |
BigD516 | So Hirai and Kenji Yamanishi, Detecting Model Changes and their Early Signals Using MDL Change Statistics |
BigD544 | Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis, and Yannis Theodoridis, Scalable Distributed Subtrajectory Clustering |
BigD549 | Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, and Aaron Harwood, Sentiment-Aware and Personalized Tour Recommendation |
BigD553 | Ahmad Slo, Sukanya Bhowmik, Albert Flaig, and Kurt Rothermel, pSPICE: Partial Match Shedding for Complex Event Processing |
BigD554 | Shayan Jawed, Ahmed Rashed, and Lars Schmidt-Thieme, Multi-step Forecasting via Multi-task Learning |
BigD558 | Rachel Krohn and Tim Weninger, Modelling Online Comment Threads from their Start |
BigD565 | Haoti Zhong, Anna Squicciarini, David Miller, and Sarah Rajtmajer, Toward Image Privacy Classification and Spatial Attribution of Private Content |
BigD567 | Jiabin Wei and Eugenio Morello, Commercial Space Category Recognition and Prediction with Machine Learning Algorithms and Multiple Data Sources: A Case Study of Milan |
BigD569 | Enmao Diao, Jie Ding, and Vahid Tarokh, Restricted Recurrent Neural Networks |
BigD570 | Shuhan Yuan, Panpan Zheng, Xintao Wu, and Qinghua Li, Insider Threat Detection via Hierarchical Neural Temporal Point Processes |
BigD580 | Robert Patton, Travis Johnston, Steven Young, Catherine Schuman, Thomas Potok, Derek Rose, Seung-Hwan Lim, Junghoon CHAE, Le Hou, Shahira Abousamra, Dimitris Samaras, and Joel Saltz, Exascale Deep Learning to Accelerate Cancer Research |
BigD586 | Axel Oehmichen, Shubham Jain, Andrea Gadotti, and Yves-Alexandre de Montjoye, OPAL: High performance platform for large-scale privacy-preserving location data analytics |
BigD587 | Najib Ishaq, George Student, and Noah Daniels, Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data |
BigD588 | Esra Akbas, Index Based Efficient Algorithms For Closest Community Search |
BigD592 | Adil Alim, Xujiang Zhao, Jin-Hee Cho, and Feng Chen, Uncertainty-Aware Opinion Inference Under Adversarial Attacks |
BigD595 | Andre Nguyen, Edward Raff, and Aaron Sant-Miller, Would a File by Any Other Name Seem as Malicious? |
BigD596 | Emine Ugur kaynar, mania abdi, Mohammad Hossein Hajkazemi, Ata Turk, Raja Sambasivan, Larry Rudolph, Peter Desnoyers, and Orran Krieger, D3N: A multi-layer cache for the rest of us |
BigD598 | Rajesh Sharma, Artem Mateush, and Jaan Übi, Tale of Three States: Analysis of Large Person-to-Person Online Financial Transactions in Three Baltic Countries |
BigD601 | Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Zhang, and Dong Wang, TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing |
BigD609 | Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention |
BigD614 | Jiayi Liu, Samarth Tripathi, Unmesh Kurup, and Mohak Shah, Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning |
BigD618 | Yang Gao, Yi-Fan Li, Bo Dong, Yu Lin, and Latifur Khan, SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics |
BigD620 | Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, and Kenny Zhu, Adapted Tree Boosting for Transfer Learning |
BigD621 | Chandrajit Bajaj, Yi Wang, and Tianming Wang, SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix |
BigD622 | Yu-Chen Wu, Mi-Yen Yeh, and Tei-Wei Kuo, Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation |
BigD624 | Soumyajit Gupta and Chandrajit Bajaj, A Streaming model for Generalized Rayleigh with extensions to Minimum Noise Fraction |
BigD626 | Joshua Suetterlein, Ryan Friese, Nathan Tallent, and Malachi Schram, TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows |
BigD629 | Phanwadee Sinthong, AFrame: Extending DataFrames for Large-Scale Modern Data Analysis |
BigD634 | Lanyu Shang, Daniel Zhang, Michael Wang, and Dong Wang, VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos |
BigD635 | Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Naren Ramakrishnan, and Ratnesh Sharma, Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach |
BigD637 | Huiyuan Chen and Jing Li, Collective Tensor Completion with Multiple Heterogeneous Side Information |
BigD646 | Nicholas O. Malott and Philip A. Wilsey, Fast Computation of Persistent Homology with Data Reduction and Data Partitioning |
BigD648 | Yang Zhou and Yan Huang, Place Representation Based Bike Demand Prediction |
BigD664 | Langshi Chen, Jiayu Li, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, and Judy Qiu, SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting |
BigD671 | Shaina Raza and Chen Ding, News Recommender System Considering Temporal Dynamics and News Taxonomy |
BigD677 | Tao Huang, Yintai Ma, Zhiwei Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, and Jieping Ye, Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network |
BigD686 | Riazat Ryan, Handong Zhao, and Ming Shao, CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression |
BigD687 | Jingwei ZUO, Karine ZEITOUNI, and Yehia TAHER, Incremental and Adaptive Feature Exploration over Time Series Stream |
BigD703 | Qinghai Zhou, Liangyue Li, and Hanghang Tong, Towards Real Time Team Optimization |
BigD705 | Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-yi Chiang, and Cyrus Shahabi, DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis |
BigD711 | Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella Moro, and Juliana Freire, Understanding Spatio-Temporal Urban Processes |
BigD714 | Ruchi Shah, Shaoshuai Zhang, Ying Lin, and Panruo Wu, xSVM: Scalable Distributed Kernel Support Vector Machine Training |
BigD715 | Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Hasan, and George Mohler, Into the Reverie: Exploration of the Dream Market |
BigD721 | Jinghan Meng, Napath Pitaksirianan, and Yicheng Tu, Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs |
BigD732 | Wenqing Hu, Chris Junchi Li, and Xiang Zhou, On the Global Convergence of Continuous–Time Stochastic Heavy–Ball Method for Nonconvex Optimization |
BigD733 | Hadi Mansourifar, Lin Chen, and Weidong Shi, Virtual Big Data for GAN Based Data Augmentation |
BigD754 | Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, and Florent Masseglia, High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models |
BigD756 | Eugenio Angriman, Alexander van der Grinten, and Henning Meyerhenke, Local Search for Group Closeness Maximization on Big Graphs |
BigD758 | Karl Bäckström, Marina Papatriantafilou, and Philippas Tsigas, MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent |
BigD766 | Saiyedul Islam, Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Achal Agarwal, Kirti Singh Rathore, and Nischay Singh, Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems |
BigD770 | Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Liping Liu, and Jun Huan, SecureGBM: Secure Multi-Party Gradient Boosting |
BigD772 | Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, and Pengwei Wang, Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification |
Short Papers
Paper ID | Short Papers |
BigD202 | David Mainenti, Big data and traditional Chinese medicine (TCM): what's state of the art? |
BigD245 | Yu Kitano, Satoshi Kuwamoto, and Akinori Asahara, OD-network-based Pedestrian-path Prediction for People-flow Simulation |
BigD254 | Sakura Yamaki, Shou-de Lin, and Wataru Kameyama, Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation |
BigD255 | Wei Zhang, Lei Han, Juanzhen Sun, Hanyang Guo, and Jie Dai, Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting |
BigD267 | Kaivalya Rawal and Arijit Khan, Maximizing Contrasting Opinions in Signed Social Networks |
BigD272 | Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, and Ashish Sharma, Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources |
BigD273 | Lijiang Geng, Yishu Xue, and Guanyu Hu, Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting |
BigD283 | Xiaokai Wei, Zhiwei Liu, Lichao Sun, and Philip S. Yu, Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network |
BigD284 | Lodovico Giaretta and Sarunas Girdzijauskas, Gossip Learning: Off the Beaten Path |
BigD291 | Tsubasa Takahashi, Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks |
BigD295 | Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, and Huan He, TEDM-PU :A Tax Evasion Detection Method Based on Positive and Unlabeled Learning |
BigD311 | Vasileios Iosifidis, Besnik Fetahu, and Eirini Ntoutsi, FAE: A Fairness-Aware Ensemble Framework |
BigD314 | Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, and Ning Li, GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences |
BigD315 | Mohamed Trabelsi, Brian D. Davison, and Jeffrey Heflin, Improved Table Retrieval Using Multiple Context Embeddings for Attributes |
BigD317 | Sreyasee Das Bhattacharjee, William J. Tolone, Roy Cherian, and Urmimala Sarkar, Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization |
BigD323 | Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, and Baijian Yang, Sparse Block Regression (SBR) for Big Data with Categorical Variables |
BigD327 | Pedro Silva, Alexandru Costan, and Gabriel Antoniu, Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing |
BigD335 | UDAY KIRAN RAGE and Saideep c, Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases |
BigD337 | Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, and Tingting He, Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification |
BigD340 | Juncheng Ding and Wei Jin, OverlapLDA: A Generative Approach for Literature-Based Discovery |
BigD348 | Mahardhika Pratama, Andri Ashfahani, and Abdul Hady, FlexNet: Weakly Supervised Deep Learning Approach in Streaming Environments |
BigD353 | Roshan Bharath Das, Marc X. Makkes, Alexandru Uta, Lin Wang, and Henri Bal, Aves: A Framework for Energy-efficient Stream Analytics across Low-power Devices |
BigD355 | Erika Duriakova, Deepak Ajwani, and Neil Hurley, Engineering a Parallel ∆ -stepping Algorithm |
BigD356 | Hongyu Sun, Qiang He, Kewen Liao, Timos Sellis, Longkun Guo, Xuyun Zhang, Jun Shen, and Feifei Chen, Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams |
BigD358 | Tasnim Kabir and Muhammad Abdullah Adnan, A Scalable Algorithm for Multi-class Support Vector Machine on Geo-Distributed Datasets |
BigD364 | Shuai Zhao, Achir Kalra, Chong Wang, Cristian Borcea, and Yi Chen, Ad Blocking Whitelist Prediction for Online Publishers |
BigD366 | Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, and Aditya Arora, Attributed Sequence Embedding |
BigD373 | J. Dinal Herath, Changxin Bai, Guanhua Yan, Ping Yang, and Shiyong Lu, RAMP: Real-Time Anomaly Detection in Scientific Workflows |
BigD379 | Linh Nguyen and Tsukasa Ishigaki, D2D-TM: A Cycle VAE-GAN for Multi-Domain Collaborative Filtering |
BigD382 | Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su, and Philip S. Yu, MC2:Unsupervised Multiple Social Network Alignment |
BigD383 | Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, and Philip S. Yu, DNA: Dynamic Social Network Alignment |
BigD384 | Charalampos Davalas, Dimitrios Michail, and Iraklis Varlamis, Graph matching on social networks without any side information |
BigD385 | XIANCAI TIAN and BAIHUA ZHENG, Study Group Travel Behaviour Patterns From Large-Scale Smart Card Data |
BigD388 | Shiyuan Deng, Xiao Yan, Kelvin K.W. Ng, Chenyu Jiang, and James Cheng, Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets |
BigD390 | Ngoc-Thanh Nguyen, Minh-Son Dao, and Koji Zettsu, Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Mutli-souces Urban Sensing Data |
BigD394 | Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, and Li Li, A Congestion Diffusion Model with Influence Maximization for Traffic Bottleneck Identification in Metrocity Scales |
BigD396 | Can Chen, Yijun Wang, Guoan Huang, and Hui Xiong, Hierarchical Demand Forecasting for Factory Production of Perishable Goods |
BigD399 | Amir Atapour-Abarghouei, Stephen Bonner, and Andrew Stephen McGough, A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation |
BigD402 | Noseong Park, Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients |
BigD406 | Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, and Nan Cao, Visual Anomaly Detection in Event Sequence Data |
BigD408 | Sumedh Yadav and Mathis Bode, A discrete mathematics approach for large scale improvement in classification training time |
BigD412 | Nikki Lijing Kuang and Clement H.C. Leung, Analysis of Evolutionary Behavior in Self-Learning Media Search Engines |
BigD418 | Jiawei Zhang, Bowen Dong, and Philip S. Yu, Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks |
BigD425 | Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, and Michael Kahn, An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection |
BigD447 | Jiechao Gao, Haoyu Wang, and Haiying Shen, Task Failure Prediction in Cloud Data Centers Using Deep Learning |
BigD451 | Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwong, Graham Bent, and Christopher Simpkin, SENSE: Semantically Enhanced Node Sequence Embedding |
BigD456 | Zhongyuan Jiang, Jianfeng Ma, and Philip S. Yu, Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction |
BigD460 | Ye Xue, Diego Klabjan, and Yuan Luo, Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension |
BigD464 | Lin Meng, Jiyang Bai, and Jiawei Zhang, LATTE: Application Oriented Social Network Embedding |
BigD466 | Benedetto Buratti and Eli Upfal, Ordalia: Deep Learning Hyperparameter Search via Generalization Error Bounds Extrapolation |
BigD473 | Xiaobo Guo, Neng Gao, Lei Wang, Zeyi Liu, Weile Liu, and Jingjie Mo, TransNS: Translating Knowledge across Network Structure Space and Semantic Space |
BigD483 | Tingting Dong, Shoji Nishimura, and Jianquan Liu, Refining Image Search Results using Multiple Attributes |
BigD488 | Song-Eun Lee, Kang-Min Kim, Woo-Jong Ryu, Jemin Park, and SangKeun Lee, From Text Classification to Keyphrase Extraction for Short Text |
BigD491 | Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka, and Paolo Scotton, Fast Record Linkage for Company Entities |
BigD494 | Laurent Caraffa, Mathieu Brédif, Murat Yirci, and Pooran Memari, ”Tile & Merge”: Distributed Delaunay Triangulations for Cloud Computing |
BigD495 | Yi Han, Shanika Karunasekera, Christopher Leckie, and Aaron Harwood, Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification |
BigD498 | Fotis Savva, Christos Anagnostopoulos, and Peter Triantafillou, Aggregate Query Prediction under Dynamic Workloads |
BigD502 | Nicholas Johnson, Pablo Mandiola, Cyrus Blankinship, Bartosz Bonczak, and Constantine Kontokosta, Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Population |
BigD503 | Manuel Dossinger and Sebastian Michel, Scaling Out Multi-Way Stream Joins using Optimized, Iterative Probing |
BigD513 | George Fletcher, Alexandra Poulovassilis, Petra Selmer, and Peter Wood, Approximate querying for the property graph language Cypher |
BigD523 | Zhengyu Chen, Sibo Gai, and Donglin Wang, Deep Tensor Factorization for Multi-Criteria Recommender Systems |
BigD533 | Ali Assi, Hamid Mcheick, and Wajdi Dhifli, BIGMat: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs |
BigD538 | Minh Pham, Craig Knoblock, and Jay Pujara, Learning Data Transformations with Minimal User Effort |
BigD539 | Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, and Yangyong Zhu, Metapath Enhanced Graph Attention Encoder for HINs Representation Learning |
BigD551 | Prabhat Mishra, Suresh Kumar Gudla, Amogha D Shanbhag, and Joy Bose, Enhanced Alternate Action Recommender System Using Recurrent Patterns and Fault detection system for Smart Home Users |
BigD555 | Zhuoyi Wang, Bo Dong, Yu Lin, Md Shihabul Islam, Yigong Wang, and Latifur Khan, Co-Representation Learning Framework For the Open-Set Data Classification |
BigD560 | Johannes Luong, Dirk Habich, and Wolfgang Lehner, DataCalc: Ad-hoc Analyses on Heterogeneous Data Sources |
BigD563 | Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant, and Andreas Salzburger, Similarity hashing for charged particle tracking |
BigD564 | Diwen Xue, Willie Yee, and Yueping Wang, Implementing a Domain-Independent Framework to Detect Suspicious Review Patterns with Apache Ecosystem Tools |
BigD571 | Di Wu, Yi He, Xin Luo, Mingsheng Shang, and Xindong Wu, Online Feature Selection with Capricious Streaming Features: A General Framework |
BigD578 | Kangsoo Jung and Seog Park, Privacy Bargaining with Fairness: Privacy–Price Negotiation System for Applying Differential Privacy in Data Market Environments |
BigD579 | Kun Xie, Che-Rung Lee, and Feng-Yuan Liu, Performance Optimization of SpMV on Spark |
BigD583 | Dihia Boulegane, Albert Bifet, and Giyyarpuram Madhusudan, Arbitrated Dynamic Ensemble with Abstaining and Diversity Forecasting ensembles on Data Streams |
BigD591 | Depeng Xu, Shuhan Yuan, Lu Zhang, and Xintao Wu, FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets |
BigD593 | Lin Li and Daniel L. Sussman, Graph Matching via Multi-Scale Heat Diffusion |
BigD603 | Bo Dong, Jinghui Guo, Zhuoyi Wang, Rong Wu, Yang Gao, and Latifur Khan, Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation |
BigD611 | Veronika Domova and Shiva Sander-Tavallaey, Visualization for quality health-care: patient flow exploration. |
BigD623 | Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, and Thomas Damiano, STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications |
BigD631 | Kun Yang and Pan Li, Data Streaming Analysis Framework for 3D non-Cartesian Free-breathing Liver DCE-MRI Perfusion Imaging |
BigD633 | Cecile Daniel, Angelo Furno, and Eugenio Zimeo, Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs |
BigD642 | Brian Chen, Hwee-Pink Tan, and Hwee-Xian Tan, Objective Sleep Quality as a Predictor of Mild Cognitive Impairment in Seniors Living Alone |
BigD656 | Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy, and Vladimir Vlassov, Scaling Deep Learning Models for Large Spatial Time-Series Forecasting |
BigD660 | Amila Silva, Shanika Karunasekera, Christopher Leckie, and Ling Luo, USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity |
BigD661 | Manoj Dareddy, Mahashweta Das, and Hao Yang, motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks |
BigD670 | Jay Lewis, Ryan Benton, David Bourrie, and Jennifer Lavergne, Enhancing Itemset Tree Rules and Performance |
BigD672 | Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, and Taiga Nakamura, Diagnosis of Neural Network via Backward Deduction |
BigD673 | Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, and Seung Woo Son, AD2: Improving Quality of IoT Data through Compressive Anomaly Detection |
BigD675 | Yousu Chen, Tianzhixi Yin, Renke Huang, Xiaoyuan Fan, and Qiuhua Huang, Big Data Analytics for Power System Cascading Analysis |
BigD682 | Diego Klabjan and Mark Harmon, Activation Ensembles for Deep Neural Networks |
BigD704 | Esteban Guillen, Trilce Estrada and Matthew Cain, DeepManner: Automatically Determining Manner of Death |
BigD706 | Nik Dawson, Marian-Andrei Rizoiu, Mary-Anne Williams, and Benjamin Johnston, Changing labour demands for Data Science and Analytics skills and occupations in Australia |
BigD708 | Jianping Zeng and Hongfeng Yu, Effectively Unified Optimization for Large-scale Graph Community Detection |
BigD712 | Michael Nelson, Sridhar Radhakrishnan, and Chandra Sekharan, Algorithms on Compressed Time-Evolving Graphs |
BigD724 | Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, and Hongfeng Yu, Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping |
BigD730 | Tianqi Wang, Houping Xiao, Fenglong Ma, and Jing Gao, IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation |
BigD731 | Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, and Ann Ragin, Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks |
BigD737 | Yu Pan, Feiyu Zhu, Tian Gao, and Hongfeng Yu, Adaptive Deep Learning based Time Varying Volume Compression |
BigD741 | Rui Li, Fenglong Ma, Wenjun Jiang, and Jing Gao, Online Federated Multitask Learning |
BigD744 | Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, and Katsuki Fujisawa, Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System |
BigD746 | Macario II Cordel, Modeling human attention by learning from large amount of emotional images |
BigD755 | Rongzhe Wei, Bo Dong, Xulyu Zhu, Jianfei Ruan, Qinghua Zheng, and Huan He, Unsupervised Conditional Adversarial Network for Tax Evasion Detection |
BigD767 | Cesare Cugnasco, Hadrien Calmet, Pol Santamaria, Raül Sirvent, Ane Beatriz Eguzkitza, Guillaume Houzeaux, Yolanda Becerra, Jordi Torres, and Jesus Labarta, The OTree: Multidimensional Indexing with efficient data Sampling for HPC |
BigD768 | Bowen Dong, Charu Aggarwal, and Philip S. Yu, The Link Regression Problem |
BigD771 | Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, and Pengwei Wang, Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets |
BigD774 | Danfeng Yan, Jiyuan Chen, Jianfei Cui, Ao Shan, and Wenting Shi, Deep Multi-Head Attention Network for Aspect-Based Sentiment Analysis |
Industry & Government Regular Papers
Paper ID | Regular Papers |
N207 | Sören Stöhrmann, Vera Kamp, and Reinhard Moratz, The Conceptual Background of OPTIMIST's AI Module |
N208 | Yuanzhe Bei, Thao Pham, Akshay Aggarwal, Nga Tran, Jaimin Dave, Chuck Bear, and Michael Leuchtenburg, Vertica Flattened Tables and Live Aggregate Projections: A Column-based Alternative to Materialized Views for Analytics |
N209 | Masaharu Goto, Naoki Kobayashi, Gang Ren, and Mitsunori Ogihara, Scaling Up Heterogeneous Waveform Clustering for Long-Duration Monitoring Signal Acquisition, Analysis, and Interaction: Bridging Big Data Analytics with Measurement Instrument Usage Pattern |
N210 | Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, and Chad Steed, Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations |
N211 | Geert Janssen, Vladimir Zolotov, and Tung D. Le, Large Data Flow Graphs in Limited GPU Memory |
N213 | Kareem Aggour, Vijay Kumar, Paul Cuddihy, Jenny Williams, Vipul Gupta, Laura Dial, Tim Hanlon, Justin Gambone, and Joseph Vinciquerra, Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing |
N215 | Ishita Kamal Khan, Aritra Mandal, and Prathyusha Senthil Kumar, Contextual Price Features for e-Commerce Search Ranking |
N216 | Xuan-Hong Dang, Syed Yousaf, and Petros Zerfos, Discovering Dynamic Dependencies from Multivariate Time Series |
N218 | Yanzhao Wu, Ling Liu, Juhyun Bae, Ka-Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, and Qi Zhang, Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks |
N219 | Xiao Zhang, Manish Marwah, I-ta Lee, Martin Arlitt, and Dan Goldwasser, ACE -- An Anomaly Contribution Explainer for Cyber-Security Applications |
N220 | Qi Wang, Michal Siedlaczek, Yen-Yu Chen, Michael Gormish, and Torsten Suel, Forward Index Compression for Instance Retrieval in an Augmented Reality Application |
N221 | Chandrika Kamath, Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? |
N223 | Ljiljana Stojanovic, Nenad Stojanovic, Djuradj Gvozdenovic, and MIlan Stojanovic, Cognition-driven resolution of the unpredicted undesirabe situations in manufacturing processes: Tool Wear use case |
N227 | Chaitanya Kanchibhotla, Pruthvi Raj Venkatesh, DVLN Somayajulu, and Radha krishna P, An Efficient Cloud-Based Framework for Digital Media Knowledge Extraction |
N229 | Amey Agrawal, Abishek Dixit, Namrata Shettar, Darshil Kapadia, Vikram Agrawal, Rajat Gupta, and Rohit Karlupia, Delog: A High-Performance Privacy Preserving Log Filtering Framework |
N230 | Baoxu Shi, Jaewon Yang, Tim Weninger, Jing How, and Qi He, Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections |
N232 | Philipp Ross and Andre Luckow, EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud |
N233 | Jingya Wang, Kareem Abdelfatah, Mohammed Korayem, and janani balaji, DeepCarotene - Job Title Classification with Multi-stream Convolutional Neural Network |
N234 | Saurav Manchanda, Pranjul Yadav, Khoa Doan, and Keerthi Sathiya, Targeted display advertising: the case of preferential attachment |
N235 | Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, and Soo-Hyun Choi, A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding |
N239 | Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-fliflet, Peter Gronvall, and Haozhen Zhao, A Framework for Explainable Text Classification in Legal Document Review |
N242 | Kajanan Sangaralingam, Nisha Verma, Aravind Ravi, and Su Won Bae, High Impact Customer Acquisition & Retention Modelling – A Scalable Data Mashup Approach |
N243 | Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Jieping Ye, and Yan Liu, D3-BUS: Human Driving Behavior Understanding System |
N244 | Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Yang Shuang, and Yuan Qi, InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance |
N245 | Nassia Daouayry, Ammar Mechouche, Pierre-Loic Maisonneuve, Vasile-Marian Scuturici and Jean-Marc Petit, Data-Centric Helicopter Failure Anticipation: The MGB Oil Pressure Virtual Sensor Case. |
N246 | Miroslav Hodak, Maria Gorkovenko, and Ajay Dholakia, Towards Power Efficiency in Deep Learning on Data Center Hardware |
N247 | Antoine Hébert, Timothée Guédon, Tristan Glatard, and Brigitte Jaumard, High-Resolution Road Vehicle Collision Prediction for the City of Montreal |
N250 | Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, and Yung-Tsun Tina Lee, An Assistive Learning Workflow on Annotating Images for Object Detection |
N254 | Ye Ouyang, Aidong Yang, Shuming Zeng and Fanyu Meng, MNP Inside Out: A Game Theory Assisted Machine Learning Model to Detect Subscriber Churn Behaviors under China’s Mobile Number Portability Policy |
N256 | Amir Yaghoubi Shahir, Mohammad A. Tayebi, Uwe Glässer, Tilemachos Charalampous, Zahra Zohrevand, and Hans Wehn, Mining Vessel Trajectories for Illegal Fishing Detection |
N257 | Pranjul Yadav, Michael Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, and Gyorgy Simon, Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected |
Industry & Government Short Papers
Paper ID | Short Papers |
N226 (Abs.) | Zhanhong Jiang and Young M. Lee, Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings |
N236 (Abs.) | Robert Keeling, Rishi Chhatwal, Nathaniel Huber-fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, and Han Qin, Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review |
N238 (Abs.) | Fahad Alhasoun and Marta Gonzalez, Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development |
N249 (Abs.) | Nicholas Becker, Ayush Dattagupta, Eli Fajardo, Prem Gali, Bianca Rhodes, Bartley Richardson, and Bhargav Suryadevara, Streamlined and Accelerated Cyber Analyst Workflows with RAPIDS |
Industry & Government Poster Papers
Paper ID | Poster Papers |
N212 | Choudur Lakshminarayan, Thiagarajan Ramakrishnan, Awny AlOmari, Khaled Bouaziz, Faraz Ahmad, Sri Raghavan, and Prama Agarwal, Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform |
N222 | Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Emre Gursoy, Mian Zhong, and Vikrant Singh, Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data |
N225 (Abs.) | Ruihong Huang, Zhiwei Chen, Zhicheng Liu, Shaoxu Song, and Jianmin Wang, TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data |
N228 | Neil Brockett, Catriona Clarke, Michele Berlingerio, and Sourav Dutta, Clustering for Analysis and Remediation of Attrition |
N231 | Aleksandr Suleikin and Peter Panfilov, Industrial track: Architecting railway KPIs data processing with Big Data technologies |
N237 | David Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, and Tsai-Ching Lu, MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events |
N240 | Su Won Bae, Aravind Ravi, Kajanan Sangaralingam, Nisha Verma, Anindya Datta, and Varun Chugh, Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - Scalable Approach |
N241 | Yu Cheng and Shuo Yang, An Interactive Online Audience Extension System |