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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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Distributed Scalable Association Rule Mining over Covid-19 Data., , , , and . FDSE, volume 13076 of Lecture Notes in Computer Science, page 39-52. Springer, (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)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)Finding Indicator Diseases of Psychiatric Disorders in BigData using Clustered Association Rule Mining., , , and . SAC, page 826-833. ACM, (2023)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)Culturally-sensitive Cybersecurity Awareness Program Design for Iranian High-school Students., , and . ICISSP, page 121-132. SCITEPRESS, (2022)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)Big Data Analytics in Association Rule Mining: A Systematic Literature Review., , , , , , and . BDET, page 40-49. ACM, (2021)Exploring Factors in a Crossroad Dataset Using Cluster-Based Association Rule Mining., , , , , and . ANT/EDI40, volume 201 of Procedia Computer Science, page 231-238. Elsevier, (2022)