Results 41 to 50 of about 48,666 (293)
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
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
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
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
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
Outlier Detection in Ocean Wave Measurements by Using Unsupervised Data Mining Methods
Polish Maritime Research, 2018 Outliers are considerably inconsistent and exceptional objects in the data set that do not adapt to expected normal condition. An outlier in wave measurements may be due to experimental and configuration errors, technical defects in equipment ...
Mahmoodi Kumars, Ghassemi Hassan
doaj +1 more source
An adaptive smartphone anomaly detection model based on data mining
EURASIP Journal on Wireless Communications and Networking, 2018 With the popularization of smartphones, they have become the main target of malicious applications. In recent years, malware has become a major threat to Android smartphones.
Xue Li Hu +2 more
doaj +1 more source