| 2021 | Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL. | Soumia Benkrid, Ladjel Bellatreche, Yacine Mestoui, Carlos Ordonez |
| 2021 | Integrated Process Data and Organizational Data Analysis for Business Process Improvement. | Alexis Artus, Andrs Borges, Daniel Calegari, Andrea Delgado |
| 2021 | ODCA: An Outlier Detection Approach to Deal with Correlated Attributes. | Fabrizio Angiulli, Fabio Fassetti, Cristina Serrao |
| 2021 | Bounding Box Representation of Co-location Instances for L | Witold Andrzejewski, Pawel Boinski |
| 2021 | Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. | Hanadi Aldosari, Frans Coenen, Gregory Yoke Hong Lip, Yalin Zheng |
| 2021 | Universal Storage Adaption for Distributed RDF-Triple Stores. | Ahmed I. A. Al-Ghezi, Lena Wiese |
| 2020 | Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019. | Tatsawan Timakum, Soobin Lee, Il-Yeol Song, Min Song |
| 2020 | Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion. | Martha Tatusch, Gerhard Klassen, Stefan Conrad |
| 2020 | DHE | Oana Stroie, Elena Simona Apostol, Ciprian-Octavian Truica |
| 2020 | Building a Competitive Associative Classifier. | Nitakshi Sood, Osmar R. Zaane |
| 2020 | Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US. | Ivan Slobozhan, Peter Ormosi, Rajesh Sharma |
| 2020 | Expected vs. Unexpected: Selecting Right Measures of Interestingness. | Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim |
| 2020 | Predicting Customer Churn for Insurance Data. | Michael Scriney, Dongyun Nie, Mark Roantree |
| 2020 | Data Engineering for Data Science: Two Sides of the Same Coin. | Oscar Romero, Robert Wrembel |
| 2020 | Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values. | Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia |
| 2020 | FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2020 | High-Utility Interval-Based Sequences. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2020 | Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. | Michael Mayr, Johannes Himmelbauer |
| 2020 | Mining Frequent Seasonal Gradual Patterns. | Jerry Lonlac, Arnaud Doniec, Marin Lujak, Stphane Lecoeuche |
| 2020 | Contrastive Explanations for a Deep Learning Model on Time-Series Data. | Jokin Labaien, Ekhi Zugasti, Xabier De Carlos |
| 2020 | Parallel K-Prototypes Clustering with High Efficiency and Accuracy. | Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi |
| 2020 | A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane |
| 2020 | Multivariate Time Series Classification: A Relational Way. | Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boull, Fabrice Clrot |
| 2020 | Derivative, Regression and Time Series Analysis in SARS-CoV-2. | Pedro Furtado |
| 2020 | Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification. | Muhammad Marwan Muhammad Fuad |