Sustainable internal corporate social responsibility and solving the puzzles of performance sustainability among medium size manufacturing companies: An empirical …
Studies have been conducted within the domain of internal corporate social responsibility,
yet less attention has been given to how sustainable internal corporate social responsibility …
yet less attention has been given to how sustainable internal corporate social responsibility …
Reference synthetic-dataset for novelty detection in oil production data: A perceptive evaluation along with case studies from 51 oilfields
OE Abdelaziem, AA Gawish, SF Farrag - Expert Systems with Applications, 2023 - Elsevier
In the last couple of years, several studies were concerned with novelty detection in oil
production time-series data to eliminate their deleterious effects. Although many algorithms …
production time-series data to eliminate their deleterious effects. Although many algorithms …
MEOD: memory-efficient outlier detection on streaming data
In this paper, a memory-efficient outlier detection (MEOD) approach for streaming data is
proposed. The approach uses a local correlation integral (LOCI) algorithm for outlier …
proposed. The approach uses a local correlation integral (LOCI) algorithm for outlier …
Advanced Memory Efficient Outlier Detection Approach for Streaming Data using Swarm Optimization
Outlier detection techniques detect abnormal behavior in data and are useful in a variety of
applications. In a real-life scenario, various applications generate large-scale data every …
applications. In a real-life scenario, various applications generate large-scale data every …
[PDF][PDF] MEOD: Memory-Efficient Outlier Detection on Streaming Data. Symmetry 2021, 13, 458
In this paper, a memory-efficient outlier detection (MEOD) approach for streaming data is
proposed. The approach uses a local correlation integral (LOCI) algorithm for outlier …
proposed. The approach uses a local correlation integral (LOCI) algorithm for outlier …