Results 51 to 60 of about 98,857 (165)

Unsupervised Machine Learning for Detecting Seismic Anomalies: Local Outlier Factor Algorithm on Indonesian Ring Fire Data

Journal of Computation Physics and Earth Science (JoCPES), 2023
The Indonesian Ring of Fire, known for its intense seismic and volcanic activity, poses significant challenges for hazard mitigation and risk management. This study applies an unsupervised machine learning approach using the Local Outlier Factor (LOF) algorithm to detect seismic anomalies in historical earthquake data.
openaire   +1 more source

One-Class Classification: Taxonomy of Study and Review of Techniques

, 2013
One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined.
Khan, Shehroz S., Madden, Michael G.
core   +1 more source

Steganographer Identification

, 2019
Conventional steganalysis detects the presence of steganography within single objects. In the real-world, we may face a complex scenario that one or some of multiple users called actors are guilty of using steganography, which is typically defined as the
Breunig, Chen, Cortes, Erdogmus, Filler, Filler, Filler, Fridrich, Fridrich, Fridrich, Fridrich, Gretton, Guo, Hetzl, Holub, Holub, Holub, Holub, Ker, Ker, Ker, Ker, Ker, Ker, Ker, Ker, Kodovsky, Li, Li, Liu, Muandet, Pearson, Pevny, Pevný, Pevný, Pevný, Pevný, Rokach, Sahu, Sallee, Scholkopf, Shi, Song, Westfeld, Wu, Wu, Wu   +46 more
core   +1 more source

Anomaly Detection with Sub-Extreme Values: Health Provider Billing

Data Science and Engineering, 2023
Anomaly detection within the context of healthcare billing requires a method or algorithm which is flexible to the practicalities and requirements of manual case review, the volumes and associated effort of which can determine whether anomalous output is
Rob Muspratt, Musa Mammadov
doaj   +1 more source

Outlier Detection from Network Data with Subnetwork Interpretation

, 2016
Detecting a small number of outliers from a set of data observations is always challenging. This problem is more difficult in the setting of multiple network samples, where computing the anomalous degree of a network sample is generally not sufficient ...
Basu, Prithwish, Dang, Xuan-Hong, Silva, Arlei, Singh, Ambuj, Swami, Ananthram   +4 more
core   +1 more source

Extended Target Measurement Set Partition Algorithm Based on Second Level CFSFDP [PDF]

Jisuanji gongcheng, 2018
In an extended target Gaussian-mixture Probability Hypothesis Density(PHD) filtering,the partition of measurement set requires a lot of calculation,which leads to the decrease of the efficiency of the algorithm.To solve the problem,a new measurement set ...
CHI Luojia,FENG Xinxi,PU Lei,CAO Zhuo
doaj   +1 more source

Certainty of outlier and boundary points processing in data mining

, 2018
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem.
Guo, Yanhui, Minaei-bidgoli, Behrouz, Norouzi, Sanaz Saki, Rashno, Elyas   +3 more
core   +1 more source

An Outlier Detection Algorithm Based on Local Density Feedback Outlier Factor

Abstract Neighborhood similarity assumes that adjacent objects should exhibit similar characteristics. To address the issue that previous density-based algorithms neglected neighborhood similarity and global information, resulting in low accuracy for outlier detection, we propose an outlier detection algorithm based on local density feedback ...
Zhongping Zhang, Yuehan Hou, Yin Jia, Ruibo Zhang   +3 more
openaire   +1 more source

A Participation Degree-Based Fault Detection Method for Wireless Sensor Networks

Sensors, 2019
In wireless sensor networks (WSNs), there are many challenges for outlier detection, such as fault detection, fraud detection, intrusion detection, and so on.
Wei Zhang, Gongxuan Zhang, Xiaohui Chen, Xiumin Zhou, Yueqi Liu, Junlong Zhou   +5 more
doaj   +1 more source

Cooperative Positioning for Multi-AUVs Based on Factor Graph and Maximum Correntropy

IEEE Access, 2019
Cooperative positioning (CP) is considered as a promising positioning method for multiple autonomous underwater vehicles (multi-AUVs), because CP is characterized by low cost and high precision.
Shiwei Fan, Ya Zhang, Qiang Hao, Pan Jiang, Chunyang Yu, Fei Yu   +5 more
doaj   +1 more source