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 Lamisah 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 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 Lamisah 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 Lamisah 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 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 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 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