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The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.

, , , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 112:1-112:8 (2019)

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Discovering co-location patterns with aggregated spatial transactions and dependency rules., , , and . Int. J. Data Sci. Anal., 5 (2-3): 137-154 (2018)ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry., , , , , , , , , and 3 other author(s). CoRR, (2023)Understanding CNN Fragility When Learning With Imbalanced Data., , , , and . CoRR, (2022)Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting., , , and . CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 470-480. PMLR, (2023)RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification., , and . DSAA, page 1-2. IEEE, (2021)Multi-label Classification of Anemia Patients., , , and . ICMLA, page 825-830. IEEE, (2015)Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance., , , , and . ICDM, page 447-456. IEEE Computer Society, (2018)SMOTEFUNA: Synthetic Minority Over-Sampling Technique Based on Furthest Neighbour Algorithm., , , , and . IEEE Access, (2020)Reinforcement Learning-based Wavefront Sensorless Adaptive Optics Approaches for Satellite-to-Ground Laser Communication., , , , and . CoRR, (2023)On simulating episodic events against a background of noise-like non-episodic events., and . SummerSim, page 452-460. Society for Computer Simulation International / ACM DL, (2010)