| 2019 | Differential Data Quality Verification on Partitioned Data. | Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kieling, Andrey Taptunov, Felix Biemann, Dustin Lange |
| 2019 | Distributed Discovery of Functional Dependencies. | Hemant Saxena, Lukasz Golab, Ihab F. Ilyas |
| 2019 | Reachability in Large Graphs Using Bloom Filters. | Arkaprava Saha, Neha Sengupta, Maya Ramanath |
| 2019 | CRA: Enabling Data-Intensive Applications in Containerized Environments. | Ibrahim Sabek, Badrish Chandramouli, Umar Farooq Minhas |
| 2019 | BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). | Amal Saadallah, Lus Moreira-Matias, Ricardo Teixeira Sousa, Jihed Khiari, Erik Jenelius, Joo Gama |
| 2019 | Accurate Product Attribute Extraction on the Field. | Martin Rezk, Laura Alonso Alemany, Lasguido Nio, Ted Zhang |
| 2019 | Scalable Frequent Sequence Mining with Flexible Subsequence Constraints. | Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla |
| 2019 | Meta Diagram Based Active Social Networks Alignment. | Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang |
| 2019 | Automated Documentation of End-to-End Experiments in Data Science. | Sergey Redyuk |
| 2019 | Large-Scale Image Search using Region Division. | Yunbo Rao, Wei Liu, Jiansu Pu, Zheng Wang, Qifei Wang |
| 2019 | Mining Periodic Cliques in Temporal Networks. | Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan |
| 2019 | Hybrid.Poly: A Consolidated Interactive Analytical Polystore System. | Maksim Podkorytov, Michael N. Gubanov |
| 2019 | CogLearn: A Cognitive Graph-Oriented Online Learning System. | Yang Pian, Yu Lu, Penghe Chen, Qinglong Duan |
| 2019 | Native Storage Techniques for Data Management. | Ilia Petrov, Andreas Koch, Sergey Hardock, Tobias Vinon, Christian Riegger |
| 2019 | How I Learned to Stop Worrying and Love Re-optimization. | Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker |
| 2019 | VQL: Providing Query Efficiency and Data Authenticity in Blockchain Systems. | Zhe Peng, Haotian Wu, Bin Xiao, Songtao Guo |
| 2019 | Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them? | Jian Pei |
| 2019 | Bursty Event Detection Throughout Histories. | Debjyoti Paul, Yanqing Peng, Feifei Li |
| 2019 | Elites Tweet? Characterizing the Twitter Verified User Network. | Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra |
| 2019 | Revisiting Hash Join on Graphics Processors: A Decade Later. | Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau |
| 2019 | Uncertain Graph Sparsification (Extended Abstract). | Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi |
| 2019 | Outer and Anti Joins in Temporal-Probabilistic Databases. | Katerina Papaioannou, Martin Theobald, Michael H. Bhlen |
| 2019 | Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach. | Debajyoti Pal, Tuul Triyason, Vijayakumar Varadarajan, Xiangmin Zhang |
| 2019 | Taster: Self-Tuning, Elastic and Online Approximate Query Processing. | Matthaios Olma, Odysseas Papapetrou, Raja Appuswamy, Anastasia Ailamaki |
| 2019 | Adaptive Deep Reuse: Accelerating CNN Training on the Fly. | Lin Ning, Hui Guan, Xipeng Shen |