Results 221 to 230 of about 188,394 (267)
Some of the next articles are maybe not open access.
WIREs Data Mining and Knowledge Discovery, 2011
AbstractOutlier detection is an area of research with a long history which has applications in many fields. This article provides a nontechnical and concise overview of the commonly used approaches for detecting outliers, including classical methods, new challenges posed by real‐world massive data, and some of the key advances made in recent years ...
Xiaogang Su, Chih-Ling Tsai
openaire +1 more source
AbstractOutlier detection is an area of research with a long history which has applications in many fields. This article provides a nontechnical and concise overview of the commonly used approaches for detecting outliers, including classical methods, new challenges posed by real‐world massive data, and some of the key advances made in recent years ...
Xiaogang Su, Chih-Ling Tsai
openaire +1 more source
Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, 2019
Outlier detection is a fundamental issue in data mining and machine learning. Most methods calculate outlier score for each object and then threshold the scores to detect outliers. Most widely used thresholding techniques are based on statistics like standard deviation around mean, median absolute deviation and interquartile range. Unfortunately, these
Jiawei Yang 0001 +2 more
openaire +1 more source
Outlier detection is a fundamental issue in data mining and machine learning. Most methods calculate outlier score for each object and then threshold the scores to detect outliers. Most widely used thresholding techniques are based on statistics like standard deviation around mean, median absolute deviation and interquartile range. Unfortunately, these
Jiawei Yang 0001 +2 more
openaire +1 more source
Proceedings of the nineteenth conference on Computational geometry - SCG '03, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sariel Har-Peled, Yusu Wang 0001
openaire +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sariel Har-Peled, Yusu Wang 0001
openaire +1 more source
2023
Already facing over $400 billion in reconstruction costs in 2023 and an ongoing war, Ukraine confronts seemingly insurmountable challenges for EU accession. Even without compensating for war damages, the financial burden of aligning with the EU is significant.
Bertelsmann Stiftung +1 more
openaire +1 more source
Already facing over $400 billion in reconstruction costs in 2023 and an ongoing war, Ukraine confronts seemingly insurmountable challenges for EU accession. Even without compensating for war damages, the financial burden of aligning with the EU is significant.
Bertelsmann Stiftung +1 more
openaire +1 more source
Journal of Nursing Education
In 2026, the Methodology Corner column will focus on the management of outliers in a valid science of nursing education. Outliers are capable of introducing errors into studies that ignore or mismanage them. This column entry specifically encourages applied researchers to ensure they check each of their studies for outliers and to report their outlier ...
openaire +2 more sources
In 2026, the Methodology Corner column will focus on the management of outliers in a valid science of nursing education. Outliers are capable of introducing errors into studies that ignore or mismanage them. This column entry specifically encourages applied researchers to ensure they check each of their studies for outliers and to report their outlier ...
openaire +2 more sources
Outlier detection algorithms typically assign an outlier score to each observation in a dataset, indicating the degree to which an observation is an outlier. However, these scores are often not comparable across algorithms and can be difficult for humans to interpret.
Philipp Röchner +4 more
openaire +1 more source
Philipp Röchner +4 more
openaire +1 more source
2013 Information Theory and Applications Workshop (ITA), 2013
The following outlier detection problem is studied in a universal setting. Vector observations are collected each with M coordinates. When the i-th coordinate is the outlier, the observations in that coordinate are assumed to be distributed according to the “outlier” distribution, distinct from the common “typical” distribution governing the ...
Yun Li 0007 +2 more
openaire +2 more sources
The following outlier detection problem is studied in a universal setting. Vector observations are collected each with M coordinates. When the i-th coordinate is the outlier, the observations in that coordinate are assumed to be distributed according to the “outlier” distribution, distinct from the common “typical” distribution governing the ...
Yun Li 0007 +2 more
openaire +2 more sources
Phonetica, 2012
AbstractPhonetic inquiry, particularly of the kind which looks at large numbers of items, frequently asks what a ‘typical’ example of a phenomenon of speech is like. For example, in describing the plosives of a language, it is common to calculate average closure durations or voice onset times in some contexts.
openaire +2 more sources
AbstractPhonetic inquiry, particularly of the kind which looks at large numbers of items, frequently asks what a ‘typical’ example of a phenomenon of speech is like. For example, in describing the plosives of a language, it is common to calculate average closure durations or voice onset times in some contexts.
openaire +2 more sources
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2021Raed Alsini +2 more
exaly