"abnormal data" is a correct and usable part of a sentence in written English.
You can use it to refer to data that is out of the ordinary or not typical. For example, "Our research identified abnormal data that suggested unhealthy environmental conditions."
An outlier is a data which is different from the other data in that domain.This abnormal data or point can be very useful to describe the abnormality of that system.
We monitor data access in the cloud and detect abnormal data access patterns.
A method for automatically detecting and filtering abnormal data (noises) in the query interfaces is also proposed.
To deal with these security issues, many researchers have proposed different schemes for privacy preservation or abnormal data detection.
REDFLAG addresses the two most worrisome issues in data-driven wireless sensor applications: abnormal data and missing data.
This paper proposes a method to detect abnormal data segments from historical multivariate time series, which are common prerequisites for rationalization of industrial alarm systems.
Satellite orbits are regarded as the analyzing objects to reduce the unbalance between the quantity of non-seismic and abnormal data.
The historical manoeuvres of a satellite are detected by identifying abnormal data segments in the TLE derived time series of selected orbital parameters (semi-major axis and inclination).
Specifically, we propose a privacy-aware data dissemination scheme for smart grid with abnormal data traceability (PDDS), based on bilinear group theory and non-interactive zero-knowledge proof.
Hence, in this paper, we first develop single-perturbation influence functions for the direction of optimal response in order to detect abnormal data points while applying ridge analysis.
Model implementation has been done in SIMULINK platform showing the online detection of abnormal data and real time estimation of cement Blaine from the knowledge of the input variables.
