Examples of 'outlier detection' in a sentence
Meaning of "outlier detection"
outlier detection ~ the process of identifying and analyzing data points that significantly differ from the majority of the dataset
How to use "outlier detection" in a sentence
Basic
Advanced
outlier detection
Outlier detection in cellular network data exploration.
Cohorts were analyzed separately for outlier detection.
Outlier detection method.
There are various methods of outlier detection.
Outlier detection of multivariate extrapolated administrative data in belgian national accounts.
An auto associative artificial neural network is used for outlier detection.
Such outlier detection is not possible if only one absorbance is used.
This result is used in practice to device a new method for outlier detection.
It is also used in outlier detection application such as detection of credit card fraud.
Therefore, it also can be interpreted as an outlier detection method.
Outlier detection algorithm combined with Decision tree classifier for early diagnosis of breast cancer.
Standard quality control techniques such as outlier detection are used during processing.
Computer-generated accurate yield map data using expert filters and spatial outlier detection.
In addition, the outlier detection module is run before and after imputation.
For quantitative variables such as financial variables, editing which included outlier detection was performed.
See also
In this study, univariate outlier detection methods were utilized to identify extreme outliers.
It has several machine learning algorithms classification, regression, clustering, outlier detection and recommender systems.
Invited paper 8, Outlier detection of multivariate extrapolated administrative data in Belgian national accounts.
Charu Aggarwal in his book Outlier Analysis classifies Outlier detection models in following groups,.
Outlier detection in CLUSO is automated and self-adjusting.
Cluster analysis-based outlier detection.
OPTICS-OF is an outlier detection algorithm based on OPTICS.
Secondly, the use of the Mahalanobis-distance in outlier detection is explained.
Extensions = = OPTICS-OF is an outlier detection algorithm based on OPTICS.
Fuzzy logic-based outlier detection.
Of missing data, and outlier detection.
Subspace -, correlation-based and tensor-based outlier detection for high-dimensional data.
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