Results 31 to 40 of about 48,813 (257)
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
Discrimination among Winding Mechanical Defects in Transformer Using Noise Detection and Data Mining Boosting Method [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2021 IIn this paper, an efficient method to detect and discriminate mechanical defects of transformer winding based on extracting the winding frequency responses using outlier data detection and ensemble algorithms ,which in total constitutes an efficient ...
Zahra Moravej +2 more
doaj +1 more source
Local outlier factor algorithm based on correction of bidirectional neighbor
Tongxin xuebao, 2020 A local outlier factor algorithm based on bidirectional neighbor correction was proposed to solve the problems of existing outlier detection algorithms such as difficulty in parameter selection,poor efficiency and low accuracy.The bidirectional neighbor ...
Xiaohui YANG, Xiaoming LIU
doaj +2 more sources
Detection of Outliers in Univariate Circular Data by Means of the Outlier Local Factor (LOF) [PDF]
Statistics in Transition New Series, 2020 Abstract The problem of outlier detection in univariate circular data was the object of increased interest over the last decade. New numerical and graphical methods were developed for samples from different circular probability distributions.
openaire +2 more sources
A new outlier detection algorithm based on observation-point mechanism
Shenzhen Daxue xuebao. Ligong ban, 2022 Outlier detection is an important branch of data mining research, and has wide applications in the fields of finance, telecommunications, and biology. The traditional nearest neighbor-based outlier detection (NNOD) and local outlier factor-based outlier ...
YU Wanguo, HE Yulin, QIN Huilin
doaj +1 more source
Design and analysis of management platform based on financial big data [PDF]
PeerJ Computer Science, 2023 Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management ...
Yuhua Chen +3 more
doaj +2 more sources
IEEE Access, 2021 Deep Neural Networks (DNNs) are extensively deployed in today’s safety-critical autonomous systems thanks to their excellent performance. However, they are known to make mistakes unpredictably, e.g., a DNN may misclassify an object if it is used ...
Siyu Luan +4 more
doaj +1 more source
Fault diagnosis of lithium-ion battery energy storage systems based on local outlier factor
Zhejiang dianli, 2023 Lithium-ion batteries may lead to fire and other accidents when working under overcharge， high temperature， and external short circuits. The faults can be prevented from escalating to thermal runaway through early fault diagnosis and fault location of ...
PENG Peng +5 more
doaj +1 more source
Optimasi Pengelompokan Data Pada Metode K-means dengan Analisis Outlier
Jurnal Teknologi dan Sistem Informasi, 2019 Data mining secara umum adalah proses analisis dan eksplorasi sejumlah besar data yang berbeda untuk menemukan pola yang bermakna. . Berbagai teknik tersedia dalam data mining untuk ekstraksi pengetahuan antara lain klasifikasi, prediksi, estimasi ...
Pasek Agus Ariawan
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