| 2020 | Reference Data Abstraction and Causal Relation based on Algebraic Expressions. | Susumu Yamasaki, Mariko Sasakura |
| 2020 | Improving Statistical Reporting Data Explainability via Principal Component Analysis. | Shengkun Xie, Clare Chua-Chow |
| 2020 | A Conceptual Framework for a Flexible Data Analytics Network. | Daniel Tebernum, Dustin Chabrowski |
| 2020 | Applied Data Science: An Approach to Explain a Complex Team Ball Game. | Friedemann Schwenkreis, Eckard Nothdurft |
| 2020 | A Data Science Approach to Explain a Complex Team Ball Game. | Friedemann Schwenkreis |
| 2020 | Catalog Integration of Heterogeneous and Volatile Product Data. | Oliver Schmidts, Bodo Kraft, Marvin Winkens, Albert Zndorf |
| 2020 | Catalog Integration of Low-quality Product Data by Attribute Label Ranking. | Oliver Schmidts, Bodo Kraft, Marvin Winkens, Albert Zndorf |
| 2020 | Trust Profile based Trust Negotiation for the FHIR Standard. | Eugene Sanzi, Steven A. Demurjian |
| 2020 | The Need for an Enterprise Risk Management Framework for Big Data Science Projects. | Jeffrey S. Saltz, Sucheta Lahiri |
| 2020 | iTLM-Q: A Constraint-Based Q-Learning Approach for Intelligent Traffic Light Management. | Christian Roth, Lukas Stger, Mirja Nitschke, Matthias Hrmann, Dogan Kesdogan |
| 2020 | iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management. | Christian Roth, Mirja Nitschke, Matthias Hrmann, Dogan Kesdogan |
| 2020 | Coreset-Based Data Compression for Logistic Regression. | Nery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo |
| 2020 | On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based Approach. | Nery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo |
| 2020 | Toward a New Quality Measurement Model for Big Data. | Mandana Omidbakhsh, Olga Ormandjieva |
| 2020 | Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection. | Marine Neyret, Jaouad Ouaggag, Cdric Allain |
| 2020 | Improving Public Sector Efficiency using Advanced Text Mining in the Procurement Process. | Nikola Modrusan, Kornelije Rabuzin, Leo Mrsic |
| 2020 | Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators. | Nikola Modrusan, Leo Mrsic, Kornelije Rabuzin |
| 2020 | Leveraging Machine Learning for Fake News Detection. | Elio Masciari, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperl |
| 2020 | Towards Self-adaptive Defect Classification in Industrial Monitoring. | Andreas Margraf, Jrg Hhner, Philipp Braml, Steffen Geinitz |
| 2020 | From Data to the Press: Data Management for Journalism and Fact-Checking. | Ioana Manolescu |
| 2020 | Sentiment Polarity Classification of Corporate Review Data with a Bidirectional Long-Short Term Memory (biLSTM) Neural Network Architecture. | Rob E. Loke, O. Kachaniuk |
| 2020 | Auxiliary Decision-making for Controlled Experiments based on Mid-term Treatment Effect Prediction: Applications in Ant Financial's Offline-payment Business. | Gang Li, Huizhi Xie |
| 2020 | Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use. | Pavel Krasikov, Timo Obrecht, Christine Legner, Markus Eurich |
| 2020 | Is Open Data Ready for Use by Enterprises? Learnings from Corporate Registers. | Pavel Krasikov, Timo Obrecht, Christine Legner, Markus Eurich |
| 2020 | Efficient Scheduling of Scientific Workflow Actions in the Cloud Based on Required Capabilities. | Michel Krmer |