| 2019 | Neural Network Based Transaction Classification System for Chinese Transaction Behavior Analysis. | Jianyang Yu, Yuanyuan Qiao, Nanfei Shu, Kewu Sun, Shenshen Zhou, Jie Yang |
| 2019 | Cluster-Based Join for Geographically Distributed Big RDF Data. | Fan Yang, Adina Crainiceanu, Zhiyuan Chen, Don Needham |
| 2019 | Mining Semantic Information in Rumor Detection via a Deep Visual Perception Based Recurrent Neural Networks. | Feng Xing, Caili Guo |
| 2019 | A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. | Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii |
| 2019 | PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. | Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii |
| 2019 | Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. | Daniel Peralta, Yvan Saeys |
| 2019 | Dynamic Resource Shaping for Compute Clusters. | Francesco Pace, Dimitrios Milios, Damiano Carra, Pietro Michiardi |
| 2019 | Efficient Re-Computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications. | Paolo Missier, Jacek Cala |
| 2019 | Sequences of Recommendations for Dynamic Groups: What Is the Role of Context? | Sara Migliorini, Elisa Quintarelli, Damiano Carra, Alberto Belussi |
| 2019 | DLBench: An Experimental Evaluation of Deep Learning Frameworks. | Nesma Mahmoud, Youssef Essam, Radwa El Shawi, Sherif Sakr |
| 2019 | AIOps for a Cloud Object Storage Service. | Anna Levin, Shelly Garion, Elliot K. Kolodner, Dean H. Lorenz, Katherine Barabash, Mike Kugler, Niall McShane |
| 2019 | Context-Aware Enforcement of Privacy Policies in Edge Computing. | Clemens Lachner, Thomas Rausch, Schahram Dustdar |
| 2019 | BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics. | Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John G. Hosking, Qiang He |
| 2019 | Scalable Block Reporting for HopsFS. | Mahmoud Ismail, August Bonds, Salman Niazi, Seif Haridi, Jim Dowling |
| 2019 | Reducing Feature Embedding Data for Discovering Relations in Big Text Data. | Haojie Huang, Raymond K. Wong |
| 2019 | Mobility Prediction with Missing Locations Based on Modified Markov Model for Wireless Users. | Junyao Guo, Lu Liu, Sihai Zhang, Jinkang Zhu |
| 2019 | dpSmart: A Flexible Group Based Recommendation Framework for Digital Repository Systems. | Boyuan Guan, Liting Hu, Pinchao Liu, Hailu Xu, Zhaohui Fu, Qingyang Wang |
| 2019 | A Service Clustering Method Based on Wisdom of Crowds. | Hui Gao, Karolina K. Dluzniak, Hong Xia, Wei Jie, Yanping Chen, Wei Xing, Xin Wang, Zhongmin Wang |
| 2019 | Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. | Roberto Corizzo, Michelangelo Ceci, Donato Malerba |
| 2019 | HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics. | Michele Ciavotta, Srdjan Krstic, Damian A. Tamburri, Willem-Jan van den Heuvel |
| 2019 | An Approach to Cross-Lingual Sentiment Lexicon Construction. | Chia-Hsuan Chang, Ming-Lun Wu, San-Yih Hwang |
| 2019 | CarPredictor: Forecasting the Number of Free Floating Car Sharing Vehicles within Restricted Urban Areas. | Luca Cagliero, Silvia Chiusano, Elena Daraio, Paolo Garza |
| 2019 | Big Data and Analytics in the Age of the GDPR. | Piero A. Bonatti, Sabrina Kirrane |
| 2019 | LPOD: A Local Path Based Optimized Scheduling Algorithm for Deadline-Constrained Big Data Workflows in the Cloud. | Changxin Bai, Shiyong Lu, Ishtiaq Ahmed, Dunren Che, Aravind Mohan |
| 2019 | Big Data Integration of Heterogeneous Data Sources: The Re-Search Alps Case Study. | Francesco Guerra, Paolo Sottovia, Matteo Paganelli, Maurizio Vincini |