Results 41 to 50 of about 343,541 (352)
Context-aware Adaptive Outlier Detection in Trajectory Data
, 2020 With the advent of data mining and business processes automation, outlier detection has evolved into a major problem attracting significant research in relation to several application domains.
Wenbin Zhang +9 more
core +1 more source
Subspace Approximation with Outliers [PDF]
, 2020 The subspace approximation problem with outliers, for given $n$ points in $d$ dimensions $x_{1},\ldots, x_{n} \in R^{d}$, an integer $1 \leq k \leq d$, and an outlier parameter $0 \leq α\leq 1$, is to find a $k$-dimensional linear subspace of $R^{d}$ that minimizes the sum of squared distances to its nearest $(1-α)n$ points.
Amit Deshpande 0001, Rameshwar Pratap
openaire +2 more sources
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2020 Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning.
Omar Alghushairy +3 more
semanticscholar +1 more source
Robust tests for testing the parameters of a normal population [PDF]
Journal of Sciences, Islamic Republic of Iran, 2014 This article aims to provide a simple robust method to test the parameters of a normal population by using the new diagnostic tool called the “Forward Search” (FS) method.
A. Mahdavi, M. Towhidi
doaj
THE USE OF STATISTICAL CRITERIA FOR EVALUATION TEST OF DATA ON PROPERTIES OF INORGANIC SUBSTANCES
Тонкие химические технологии, 2017 Three statistical criteria were compared on the basis of the sampling of chemical data in the article. When the criteria were compared, the level of significance was taken as equal to 0.05, because this value is most often used in the technical ...
I. D. Tarasenko, V. A. Dudarev
doaj +1 more source
OUTLIER DETECTION TECHNIQUE USING CT-OCSVM AND FUZZY RULE-BASED SYSTEM IN WIRELESS SENSOR NETWORKS
Journal of Engineering and Sustainable Development, 2020 The development of Wireless Sensor Networks (WSNs) has been attained in the past few years due to its important using in wide range of application. The readings of data derived from WSN nodes are not always accurate and may contain abnormal data.
Hussein Hassan Shia +2 more
doaj +1 more source
Weighted fast-trimmed likelihood estimator for mixture regression models
Frontiers in Applied Mathematics and StatisticsThe fast-trimmed likelihood estimate is a robust method to estimate the parameters of a mixture regression model. However, this method is vulnerable to the presence of bad leverage points, which are outliers in the direction of independent variables.
Hassan S. Uraibi, Mohammed Qasim Waheed
doaj +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Two different paradigms in the field of plagiarism detection resulting in External Plagiarism Detection (EPD) and Intrinsic Plagiarism Detection (IPD) systems.
Sylvia Putri Gunawan +2 more
doaj +1 more source
, 2016 The columns of the table correspond to the non-outlier loci presented in Campagne et al. 2016 (Heredity). Rows, correspond to individuals (described in the file sample-info.txt)
Campagne, Pascal +15 more
core +1 more source
Media Statistika, 2023 Poverty is defined as an inability of the individual to meet basic needs for a decent life. According to BPS data in 2020, Sulawesi Island ranks fifth as the poorest island in Indonesia.
Febriyana Taki +2 more
doaj +1 more source