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
A Kernel Connectivity-based Outlier Factor Algorithm for Rare Data Detection in a Baking Process
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.316
Abstract: Abstract Due to strict legislation on greenhouse gas emission reduction, energy intensive industries include the bakery industry are all under pressure to improve the energy efficiency in the manufacturing processes. In this paper, an energy… read more here.
Keywords: kernel; outlier factor; energy; based outlier ... See more keywords
Thresholding-based outlier detection for high-dimensional data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2018.1452238
Abstract: ABSTRACT Traditional outlier detection methods such as the minimum volume ellipsoid method and MCD method are all based on normal distance. As is well known, the norm-based distance is only effective in detecting difference with… read more here.
Keywords: detection; based outlier; method; thresholding based ... See more keywords
Explainable Distance-based Outlier Detection in Data Streams
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DOI: 10.1109/access.2022.3172345
Abstract: Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating subspaces,… read more here.
Keywords: based outlier; distance based; outlier detection; data streams ... See more keywords
Graph Convolutional Networks and Attention-Based Outlier Detection
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DOI: 10.1109/access.2022.3189790
Abstract: Outlier detection is a significant research direction in machine learning and has many applications in finance, network security, and other areas. Outlier detection of Euclidean datasets is a mainstream problem in outlier detection. Most detection… read more here.
Keywords: graph convolutional; outlier detection; attention based; detection ... See more keywords
Geodesic Affinity Propagation Clustering Based on Angle-Based Outlier Factor
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DOI: 10.1109/access.2023.3271996
Abstract: The affinity propagation (AP) clustering algorithm has received a lot of attention over the past few years. AP is efficient and insensitive to initialization, and generates clustering results with lower error and in less time.… read more here.
Keywords: propagation clustering; outlier factor; based outlier; affinity propagation ... See more keywords
Feature Grouping-Based Outlier Detection Upon Streaming Trajectories
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DOI: 10.1109/tkde.2017.2744619
Abstract: Outlier detection acts as one of the most important analysis tasks for trajectory stream. In stream scenarios, such properties as unlimitedness, time-varying evolutionary, sparsity, and skewness distribution of trajectories pose new challenges to outlier detection… read more here.
Keywords: detection; based outlier; grouping based; feature grouping ... See more keywords
Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8081325
Abstract: As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction Model (HPM), which can provide early prediction of type… read more here.
Keywords: diabetes hypertension; based outlier; dbscan based; outlier detection ... See more keywords