| Name : R-datadriftR
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.1.1
| Date : 2024-06-14 09:43:22
|
| Group : Development/Libraries/Other
| Source RPM : R-datadriftR-0.0.1-lp154.1.1.src.rpm
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| Size : 0.24 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Concept Drift Detection Methods for Stream Data
|
Description :
A system designed for detecting concept drift in streaming datasets. It
offers a comprehensive suite of statistical methods to detect concept
drift, including methods for monitoring changes in data distributions
over time. The package supports several tests, such as Drift Detection
Method (DDM), Early Drift Detection Method (EDDM), Hoeffding Drift
Detection Methods (HDDM_A, HDDM_W), Kolmogorov-Smirnov test-based
Windowing (KSWIN) and Page Hinkley (PH) tests. The methods implemented
in this package are based on established research and have been
demonstrated to be effective in real-time data analysis. For more
details on the methods, please check to the following sources. Gama et
al. (2004) < doi:10.1007/978-3-540-28645-5_29>, Baena-Garcia et al.
(2006)
< https://www.researchgate.net/publication/245999704_Early_Drift_Detection_Method>,
FrÃas-Blanco et al. (2014)
< https://ieeexplore.ieee.org/document/6871418>, Raab et al. (2020)
< doi:10.1016/j.neucom.2019.11.111>, Page (1954)
< doi:10.1093/biomet/41.1-2.100>, Montiel et al. (2018)
< https://jmlr.org/papers/volume19/18-251/18-251.pdf>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
