This tutorial has four aims: (1) Providing the current comparative works on different outlier detectors, and analysing the strengths and weaknesses of these works and their recommendations. (2) Presenting non-obvious applications of outlier detectors. This provides examples of how outlier detectors are used in areas which are not normally considered to be the domains of outlier detection. (3) Inviting the research community to explore future research directions, in terms of both comparative study and outlier detection in general. (4) Giving an advice on the factors to consider when choosing an outlier detector, and strengths and weaknesses of some "top" recommended algorithms based on the current understanding in the literature
In data analysis, outliers are deviating and unexpected observations. Outlier detection is important...
Outlier detection is an important research problem in data mining that aims to discover useful abnor...
This paper introduces two statistical outlier detection approaches by classes. Experiments on binar...
Data Mining simply refers to the extraction of very interesting patterns of the data from the massiv...
Outliers are observations that are rare or exceptional in some sense. Outlier Detection is the proce...
Data Mining just alludes to the extraction of exceptionally intriguing patterns of the data from the...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
As said in signal processing, "One person's noise is another person's signal." F...
This thesis reviews various approaches for outlier detection problem. Several popularly used methods...
Outlier Detection is a technique to detect anomalous events or outliers during analysis of the data ...
This paper deals with finding outliers (exceptions) in large datasets. The identification of outlier...
Outlier detection refers to the detection of unexpected situations in the data. Outliers are fraud, ...
Abstract: Problem statement: Methods proposed for estimating and resolving outliers are compared. Ap...
Outlier is a data point that deviates too much from the rest of dataset. Most of real-world dataset ...
In this paper the use of outlier detection methods is discussed. This analysis is an introduction to...
In data analysis, outliers are deviating and unexpected observations. Outlier detection is important...
Outlier detection is an important research problem in data mining that aims to discover useful abnor...
This paper introduces two statistical outlier detection approaches by classes. Experiments on binar...
Data Mining simply refers to the extraction of very interesting patterns of the data from the massiv...
Outliers are observations that are rare or exceptional in some sense. Outlier Detection is the proce...
Data Mining just alludes to the extraction of exceptionally intriguing patterns of the data from the...
Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even mor...
As said in signal processing, "One person's noise is another person's signal." F...
This thesis reviews various approaches for outlier detection problem. Several popularly used methods...
Outlier Detection is a technique to detect anomalous events or outliers during analysis of the data ...
This paper deals with finding outliers (exceptions) in large datasets. The identification of outlier...
Outlier detection refers to the detection of unexpected situations in the data. Outliers are fraud, ...
Abstract: Problem statement: Methods proposed for estimating and resolving outliers are compared. Ap...
Outlier is a data point that deviates too much from the rest of dataset. Most of real-world dataset ...
In this paper the use of outlier detection methods is discussed. This analysis is an introduction to...
In data analysis, outliers are deviating and unexpected observations. Outlier detection is important...
Outlier detection is an important research problem in data mining that aims to discover useful abnor...
This paper introduces two statistical outlier detection approaches by classes. Experiments on binar...