Using the QGIS, ArcGISPro and MultiSpec programs, the authors created an information-cartographic database, with the help of which the patterns of distribution of thermal anomalies in different parts of the city were revealed. An analysis of thermal summer images was carried out, coupled with a ...
In the text field for Tag key, enter a name that begins with Devops-Guru-. In the text field for Tag value, enter any value. For example, if you enter rds-database-1 for the name of your Aurora database, you can also enter rds-database-1 as the tag value. For more information...
These studies use the China A-share market as an out-of-sample environment to test anomalies documented in other markets, a well-known procedure to guard against factor data mining (see Harvey et al., 2016). Since the China A-share market has hardly been financially integrated with other ...
Example Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer The function series_mv_ee_anomalies_fl() is a user-defined function (UDF) that detects multivariate anomalies in series by applying elliptic envelope model from scikit-learn. This model assumes that the source of the multivariate...
| where TimeGenerated > ago(1d) | where RuleStatus == "Production" Get Flighting Anomalies (last day) Gets a list of all anomalies generated by a flighting Sentinel rule in the last day query Anomalies | where TimeGenerated > ago(1d) ...
To demonstrate our method, we use an example in which we are trying to detect drug abuse using a prescription database. Each record has 10 features that may point to drug abuse. The instance presented in Fig. 2(a), which has a high reconstruction error, is a prescription for a large ...
We aimed to evaluate the risk of congenital anomalies after fetal exposure to antiretroviral drugs using the European congenital anomaly registry data. Methods A case/non-case study was performed, using the EUROmediCAT central database. All the congenital anomalies, exposed to any antiretroviral ...
In this example, the 2 PM hour had the highest unexpected wait times. Open the Anomaly Detection chart for a one-day period, and find the hours with large red segments. These are the hours when wait times were much higher than expected. Click the bar that represents the hour...
An anomaly that appears in one service can have a negative impact on services downstream. For example, if one service's database queries get throttled, any downstream service will experience elevated latency. Some of these downstream services could eventually experience an increased error rate due ...
In this tutorial, you learn how to: Load the data Create a transform for spike anomaly detection Detect spike anomalies with the transform Create a transform for change point anomaly detection Detect change point anomalies with the transform ...