Results 21 to 30 of about 98,857 (165)
Implementation and assessment of two density-based outlier detection methods over large spatial point clouds [PDF]
, 2018 Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to be investigated, adding value through ...
Fissore, Francesca +3 more
core +4 more sources
Predictive intelligence to the edge through approximate collaborative context reasoning [PDF]
, 2017 We focus on Internet of Things (IoT) environments where a network of sensing and computing devices are responsible to locally process contextual data, reason and collaboratively infer the appearance of a specific phenomenon (event).
Anagnostopoulos, Christos +1 more
core +1 more source
Energies, 2023 The accurate detection of wind power outliers plays a crucial role in wind power forecasting, while the inherited strong randomness and high fluctuations bring great challenges to this issue.
Jingtao Huang, Jin Qin, Shuzhong Song
doaj +1 more source
A subsampling method for the computation of multivariate estimators with high breakdown point [PDF]
, 1994 All known robust location and scale estimators with high breakdown point for multivariate sample's are very expensive to compute. In practice, this computation has to be carried out using an approximate subsampling procedure.
Juan, Jesús, Prieto, Francisco J.
core +5 more sources
An Efficient Density-Based Local Outlier Detection Approach for Scattered Data
IEEE Access, 2019 After the local outlier factor was first proposed, there is a large family of local outlier detection approaches derived from it. Since the existing approaches only focus on the extent of overall separation between an object and its neighbors, and ignore
Shubin Su +6 more
doaj +1 more source
Application of Local Outlier Factor Algorithm to Detect Anomalies in Computer Network
Elektronika ir Elektrotechnika, 2018 Gap between the new attack appearance and signature creation for this attack may be critical. During this time, many computer systems may be affected and valuable resources may be lost. Even after signature creation, many computer systems still stay vulnerable because of bad security practice, i.e.
Auškalnis, Juozas +2 more
openaire +3 more sources
An Incremental Local Outlier Detection Method in the Data Stream
Applied Sciences, 2018 Outlier detection has attracted a wide range of attention for its broad applications, such as fault diagnosis and intrusion detection, among which the outlier analysis in data streams with high uncertainty and infinity is more challenging.
Haiqing Yao +3 more
doaj +1 more source
Hybrid Machine Learning–Statistical Method for Anomaly Detection in Flight Data
Applied Sciences, 2022 This paper investigates the use of an unsupervised hybrid statistical–local outlier factor algorithm to detect anomalies in time-series flight data. Flight data analysis is an activity carried out by airlines primarily as a means of improving the safety ...
Sameer Kumar Jasra +3 more
doaj +1 more source
TADILOF: Time Aware Density-Based Incremental Local Outlier Detection in Data Streams
Sensors, 2020 Outlier detection in data streams is crucial to successful data mining. However, this task is made increasingly difficult by the enormous growth in the quantity of data generated by the expansion of Internet of Things (IoT).
Jen-Wei Huang +2 more
doaj +1 more source
Scientific Reports, 2022 White matter lesions (WML) underlie multiple brain disorders, and automatic WML segmentation is crucial to evaluate the natural disease course and effectiveness of clinical interventions, including drug discovery.
Kokhaur Ong +9 more
doaj +1 more source