- Marco Capó, Aritz Pérez, José Antonio Lozano. An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov., 34(3):776-811, 2020.
- Felipe Azevedo Pinage, Eulanda Miranda dos Santos, João Gama. A drift detection method based on dynamic classifier selection. Data Min. Knowl. Discov., 34(1):50-74, 2020.
- Michele Linardi, Yan Zhu 0014, Themis Palpanas, Eamonn J. Keogh. Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov., 34(4):1022-1071, 2020.
- Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh. An ultra-fast time series distance measure to allow data mining in more complex real-world deployments. Data Min. Knowl. Discov., 34(4):1104-1135, 2020.
- Fatemeh Riahi, Oliver Schulte. Model-based exception mining for object-relational data. Data Min. Knowl. Discov., 34(3):681-722, 2020.
- Taito Lee, Shin Matsushima, Kenji Yamanishi. Grafting for combinatorial binary model using frequent itemset mining. Data Min. Knowl. Discov., 34(1):101-123, 2020.
- Loredana Caruccio, Vincenzo Deufemia, Giuseppe Polese. Mining relaxed functional dependencies from data. Data Min. Knowl. Discov., 34(2):443-477, 2020.
- Carlos Andres Ferrero, Lucas May Petry, Luis Otávio Alvares, Camila Leite da Silva, Willian Zalewski, Vania Bogorny. MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification. Data Min. Knowl. Discov., 34(3):652-680, 2020.
- Matthias Schmid, Thomas Welchowski, Marvin N. Wright, Moritz Berger. Discrete-time survival forests with Hellinger distance decision trees. Data Min. Knowl. Discov., 34(3):812-832, 2020.
- Mehdi Katranji, Sami Kraiem, Laurent Moalic, Guilhem Sanmarty, Ghazaleh Khodabandelou, Alexandre Caminada, Fouad Hadj-Selem. Deep multi-task learning for individuals origin-destination matrices estimation from census data. Data Min. Knowl. Discov., 34(1):201-230, 2020.