| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Aliguliyev , R.M. Performance Evaluation of Algorithms for Anomaly Detection Using Apache Spark / R.M. Aliguliyev // 2023 5th International Conference on Problems of Cybernetics and Informatics (PCI). - Baku, 2023. - P. 1-3. | |
| Annotasiya | |
| Detecting outliers gain increasing attention as they have various application fields like fraud detection, medical analysis, intrusion detection and so on. There have been established different techniques and methods such as distance-based, density-based, statistical-based, ensemble-based, learning-based methods and this process is still ongoing to find out the more effective algorithms as some of them give the desired result on a certain data set but not effective for the different data set and vise versa. This paper compares the experimental result of the most popular methods on the publicly available datasets using Apache Spark and helps the researchers to shape the future of investigation in regarding to the calculation of outliers. | |
| Elektron variant | |
| Elektron variant |
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