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  "Title": "Concept Drift Detection Methods for Stream Data",
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  "Authors@R": "c(\nperson(\"Ugur\", \"Dar\", email = \"ugurdar@eskisehir.edu.tr\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0009-0005-8076-2199\")),\nperson(\"Mustafa\", \"Cavus\", email = \"mcavus@eskisehir.edu.tr\",\nrole = \"aut\", comment = c(ORCID = \"0000-0002-6172-5449\"))\n)",
  "Description": "A system designed for detecting concept drift in streaming\ndatasets. It offers a comprehensive suite of statistical\nmethods to detect concept drift, including methods for\nmonitoring changes in data distributions over time. The package\nsupports several tests, such as Drift Detection Method (DDM),\nEarly Drift Detection Method (EDDM), Hoeffding Drift Detection\nMethods (HDDM_A, HDDM_W), Kolmogorov-Smirnov test-based\nWindowing (KSWIN), Adaptive WINdowing (ADWIN) and Page Hinkley\n(PH) tests. The methods implemented in this package are based\non established research and have been demonstrated to be\neffective in real-time data analysis. For more details on the\nmethods, please check to the following sources. Kobylińska et\nal. (2023) <doi:10.48550/arXiv.2308.11446>, S. Kullback & R.A.\nLeibler (1951) <doi:10.1214/aoms/1177729694>, Gama et al.\n(2004) <doi:10.1007/978-3-540-28645-5_29>, Baena-Garcia et al.\n(2006)\n<https://www.researchgate.net/publication/245999704_Early_Drift_Detection_Method>,\nFrías-Blanco et al. (2014)\n<https://ieeexplore.ieee.org/document/6871418>, Bifet and\nGavalda (2007) <doi:10.1137/1.9781611972771>, Raab et al.\n(2020) <doi:10.1016/j.neucom.2019.11.111>, Page (1954)\n<doi:10.1093/biomet/41.1-2.100>, Montiel et al. (2018)\n<https://jmlr.org/papers/volume19/18-251/18-251.pdf>.",
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