Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Chemometrics"
DOI: 10.1002/cem.3460
Abstract: Assessment of the adequacy of a proposed linear calibration curve is necessarily subjective in chemical analysis. If the outlier points in calibration are not identified and discarded, the constructed model will not have much validity… read more here.
Keywords: roadmap outlier; detection univariate; chemistry; calibration ... See more keywords
Outlier detection and influence diagnostics in network meta-analysis.
Sign Up to like & getrecommendations! Published in 2020 at "Research synthesis methods"
DOI: 10.1002/jrsm.1455
Abstract: Network meta-analysis has been gaining prominence as an evidence synthesis method that enables the comprehensive synthesis and simultaneous comparison of multiple treatments. In many network meta-analyses, some of the constituent studies may have markedly different… read more here.
Keywords: outlier detection; network meta; network; meta analysis ... See more keywords
Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3876-4
Abstract: Outliers are a critical factor that affects the accuracy of data-based predictions and some other data-based processing; thus, outliers must be effectively detected as soon as possible to improve the credibility of the data. In… read more here.
Keywords: detection; minimal weighted; outlier detection; data stream ... See more keywords
An outlier detection approach in large-scale data stream using rough set
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04421-4
Abstract: Outlier detection has become an important research area in the field of stream data mining due to its vast applications. In the literature, many methods have been proposed, but they work well for simple and… read more here.
Keywords: large scale; stream; outlier detection; approach large ... See more keywords
RUTOD: real-time urban traffic outlier detection on streaming trajectory
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06294-y
Abstract: With the rapid development of internet technology and mobile devices, massive streaming data of spatiotemporal information is available for real-time data mining. Outlier detection is playing as one of the most important analysis tasks for… read more here.
Keywords: traffic; outlier detection; real time; time urban ... See more keywords
KAGO: an approximate adaptive grid-based outlier detection approach using kernel density estimate
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00998-6
Abstract: Outlier detection approaches show their efficacy while extracting unforeseen knowledge in domains such as intrusion detection, e-commerce, and fraudulent transactions. A prominent method like the K-Nearest Neighbor (KNN)-based outlier detection (KNNOD) technique relies on distance… read more here.
Keywords: detection; based outlier; approximate adaptive; density ... See more keywords
An experimental study of existing tools for outlier detection and cleaning in trajectories
Sign Up to like & getrecommendations! Published in 2024 at "GeoInformatica"
DOI: 10.1007/s10707-024-00522-y
Abstract: Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on outlier points within individual trajectories, i.e., points that deviate significantly inside a… read more here.
Keywords: detection; detection cleaning; outlier detection; experimental study ... See more keywords
Outlier detection using an ensemble of clustering algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11671-9
Abstract: Outlier detection is an important research area in the field of machine learning and data science. The presence of outliers in a dataset limits its true usefulness in a real-life scenario. Due to the varied… read more here.
Keywords: outlier detection; clustering algorithms; using ensemble; detection using ... See more keywords
Rotation-based outlier detection for geochemical anomaly identification in stream sediment multivariate data
Sign Up to like & getrecommendations! Published in 2025 at "Earth Science Informatics"
DOI: 10.1007/s12145-025-01811-2
Abstract: This research explores the use of the rotation-based outlier detection (ROD) method for identifying geochemical anomalies in a multivariate stream sediment dataset from Iran, targeting porphyry and vein-type Cu mineralization. Geochemical datasets often present challenges… read more here.
Keywords: based outlier; outlier detection; rotation; rod ... See more keywords
An outlier detection approach for water footprint assessments in shale formations: case Eagle Ford play (Texas)
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-020-09197-8
Abstract: The increasing trend on water use for hydraulic fracturing (HF) in multiple plays across the U.S. has raised the need to improve the HF water management model. Such approaches require good-quality datasets, particularly in water-stressed… read more here.
Keywords: water footprint; water; outlier detection; ford play ... See more keywords
Fuzzy rule-based model for outlier detection in a Topical Negative Pressure Wound Therapy Device.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.046
Abstract: This paper proposes a novel method for offline outlier detection in nonlinear dynamical systems using an input-output dataset of a Topical Negative Pressure Wound Therapy Device, NPWT. The fundamental characteristics of an NPWT describe a… read more here.
Keywords: topical negative; outlier detection; fuzzy rule;