TERMIUM Plus^®

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... the process of identifying data points in a dataset or system that falls outside the norm.  4, fiche 1, Anglais, - anomaly%20detection

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Anomaly detection is an important issue in many application domains. For example, cybercrime can cause considerable economic losses and threaten [a company's] survival. Securing ... information [systems] has become a priority and a strategic issue for all types of companies.  5, fiche 1, Anglais, - anomaly%20detection

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[...] processus qui consiste à identifier des points de données en dehors de la norme dans un ensemble de données ou un système.  4, fiche 1, Français, - d%C3%A9tection%20d%27anomalies

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La détection d'anomalies est un problème en plein essor et qui revêt une importance dans plusieurs domaines. À titre d'exemple, la cybercriminalité peut provoquer des pertes économiques considérables et menacer la survie [d'une entreprise. La sécurité des systèmes] d'information est devenue une priorité et un enjeu stratégiques pour tous les types d'entreprises.  5, fiche 1, Français, - d%C3%A9tection%20d%27anomalies

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[The network software] augments its artificial intelligence-driven anomaly detection capabilities with automated malware scanning. During backup operations, backups are checked for anomalies in near real-time. If anomalies are suspected, malware scanning is automatically initiated to determine if backups contain malware. If a malware scan is positive, data protection, replication, and expiry can be automatically paused for infected targets to contain the spread and prevent expiration of backups with uninfected data.  4, fiche 2, Anglais, - artificial%20intelligence%20anomaly%20detection

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Isolation forest is an unsupervised anomaly detection algorithm that uses ... decision trees under the hood to detect outliers in the data set.  1, fiche 3, Anglais, - unsupervised%20anomaly%20detection%20algorithm

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Sequential anomaly detection is employed in analyzing sequential or temporal data, where anomalies are detected based on their deviation from the expected sequence or pattern ...  1, fiche 4, Anglais, - sequential%20anomaly%20detection

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This approach is commonly used in detecting fraud patterns in financial transactions, identifying network intrusions, or monitoring sensor data for anomalies.  1, fiche 4, Anglais, - sequential%20anomaly%20detection

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LSTMs [long short-term memories] present a robust and flexible approach to the temporal anomaly detection in medical data sets due in part to their ability to retain information about both long-term and short-term dependencies on the model outcome.  2, fiche 5, Anglais, - temporal%20anomaly%20detection

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Spatial anomaly detection deals with identifying anomalies in spatial datasets, such as geographical data or image data ...  1, fiche 6, Anglais, - spatial%20anomaly%20detection

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Point anomaly detection focuses on detecting individual data points that exhibit significant deviations from the normal behavior of the data or network traffic ...  2, fiche 7, Anglais, - point%20anomaly%20detection

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Contextual anomaly detection is valuable in detecting anomalies that are context-dependent, such as detecting unusual patterns in network traffic or identifying abnormal behaviors in user activity.  2, fiche 8, Anglais, - contextual%20anomaly%20detection

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Collective contextual anomaly detection ... aims to identify anomalies that occur in specific contexts or groups of data points, considering both the contextual information and the collective behavior of the data.  3, fiche 9, Anglais, - collective%20contextual%20anomaly%20detection

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Collective anomaly detection ... focuses on identifying groups or subsets of data points that exhibit anomalous behavior as a whole, even if individual data points appear normal ... This type of anomaly detection is useful in scenarios where anomalies are not easily detectable at the individual level but become apparent when considering collective behavior. Applications include detecting coordinated attacks in cybersecurity ...  1, fiche 10, Anglais, - collective%20anomaly%20detection

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Submarines are vulnerable to detection through their underwater magnetic signature. As this influence is unrelated to acoustic signatures, magnetic detection is feasible even for acoustically-quiet submarines or in littoral waters. The MAD hardware and the associated geological noise-reduction algorithms and submarine-detection algorithms are used to localize submarines from aircraft. The MAD technology has significant links to the geophysical exploration industry.  1, fiche 11, Anglais, - magnetic%20anomaly%20detection

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Les sous-marins sont vulnérables à la détection en raison de leur signature magnétique sous-marine. Comme cette influence n'est pas reliée aux signatures acoustiques, la détection magnétique est possible même pour des sous-marins à acoustique atténuée ou dans les eaux littorales. Le matériel MAD et les algorithmes géologiques réducteurs de bruit et les algorithmes de détection des sous-marins connexes sont utilisés pour localiser les sous-marins à partir d'un aéronef. La technologie MAD est étroitement liée à l'industrie de la prospection géophysique.  1, fiche 11, Français, - d%C3%A9tection%20d%27anomalies%20magn%C3%A9tiques

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The AFCS [automatic flight control system] includes fault detection, monitoring circuits, built-in test equipment (BITE), barometric altitude control, and magnetic anomaly detection (MAD) control for Submarine Detecting Set (...) calibration.  1, fiche 14, Anglais, - magnetic%20anomaly%20detection%20control

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