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Why Not to Trust Big Data: Discussing Statistical Paradoxes.

, , , , , , and . DASFAA (Workshops), volume 13248 of Lecture Notes in Computer Science, page 50-63. Springer, (2022)

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Towards Unification of Statistical Reasoning, OLAP and Association Rule Mining: Semantics and Pragmatics., , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 596-603. Springer, (2022)A Novel Framework for Unification of Association Rule Mining, Online Analytical Processing and Statistical Reasoning., , , , , , , and . IEEE Access, (2022)Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning., , , , , , and . ADBIS (Short Papers), volume 1652 of Communications in Computer and Information Science, page 67-76. Springer, (2022)A Systematic Assessment of Numerical Association Rule Mining Methods., , , , , and . SN Comput. Sci., 2 (5): 348 (2021)Why Not to Trust Big Data: Discussing Statistical Paradoxes., , , , , , and . DASFAA (Workshops), volume 13248 of Lecture Notes in Computer Science, page 50-63. Springer, (2022)Big Data Analytics in Association Rule Mining: A Systematic Literature Review., , , , , , and . BDET, page 40-49. ACM, (2021)Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning., , , and . BDA, volume 13147 of Lecture Notes in Computer Science, page 244-260. Springer, (2021)On Observing Patterns of Correlations During Drill-Down., , , , and . iiWAS, volume 14416 of Lecture Notes in Computer Science, page 134-143. Springer, (2023)An Analysis of Human Perception of Partitions of Numerical Factor Domains., , , , and . iiWAS, volume 13635 of Lecture Notes in Computer Science, page 137-144. Springer, (2022)On the Potential of Numerical Association Rule Mining., , , , , and . FDSE (CCIS Volume), volume 1306 of Communications in Computer and Information Science, page 3-20. Springer, (2020)