Add to ORKGThis paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination. White Rose Repository URL for this paper
In a data set, an outlier refers to a data point that is considerably different from the others. Det...
journal Technovation. (This paper has been peer-reviewed but does not include final publisher proof-...
Empirical software engineering is a research field of growing interest. Studies within this field ha...
Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous obs...
journal. (This paper has been peer-reviewed but does not include final publisher proof-corrections o...
This paper has been peer-reviewed but does not include final publisher proof-corrections or journal ...
Outlier detection is an important research problem in data mining that aims to discover useful abnor...
Journal of Ecology. (This paper has been peer-reviewed but does not include final publisher proof-co...
Abstract- Outlier detection is an active area for research in data set mining community. Finding out...
This thesis reviews various approaches for outlier detection problem. Several popularly used methods...
Data Mining just alludes to the extraction of exceptionally intriguing patterns of the data from the...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Abstract — A phenomenal interest in big data among research community has emerged. Outlier detection...
Data Mining simply refers to the extraction of very interesting patterns of the data from the massiv...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
In a data set, an outlier refers to a data point that is considerably different from the others. Det...
journal Technovation. (This paper has been peer-reviewed but does not include final publisher proof-...
Empirical software engineering is a research field of growing interest. Studies within this field ha...
Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous obs...
journal. (This paper has been peer-reviewed but does not include final publisher proof-corrections o...
This paper has been peer-reviewed but does not include final publisher proof-corrections or journal ...
Outlier detection is an important research problem in data mining that aims to discover useful abnor...
Journal of Ecology. (This paper has been peer-reviewed but does not include final publisher proof-co...
Abstract- Outlier detection is an active area for research in data set mining community. Finding out...
This thesis reviews various approaches for outlier detection problem. Several popularly used methods...
Data Mining just alludes to the extraction of exceptionally intriguing patterns of the data from the...
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) has a long traditio...
Abstract — A phenomenal interest in big data among research community has emerged. Outlier detection...
Data Mining simply refers to the extraction of very interesting patterns of the data from the massiv...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
In a data set, an outlier refers to a data point that is considerably different from the others. Det...
journal Technovation. (This paper has been peer-reviewed but does not include final publisher proof-...
Empirical software engineering is a research field of growing interest. Studies within this field ha...