Results 231 to 240 of about 130,902 (295)

A LOF K-Means Clustering on Hotspot Data

International Journal of Artificial Intelligence & Robotics (IJAIR), 2020
K-Means is the most popular of clustering method, but its drawback is sensitivity to outliers. This paper discusses the addition of the outlier removal method to the K-Means method to improve the performance of clustering.
R. Muhima, M. Kurniawan, Oktavian Tegar Pambudi   +2 more
semanticscholar   +1 more source

Effectiveness of LOF, iForest, and OCSVM in detecting anomalies in stream sediment geochemical data

Geochemistry: Exploration, Environment, Analysis
This paper compares three unsupervised machine-learning algorithms (local outlier factor (LOF), isolation forest (iForest), and one-class support vector machine (OCSVM)) for anomaly detection in a multivariate geochemical dataset in northeastern Iran ...
Shahed Shahrestani, Emmanuel John M. Carranza   +1 more
semanticscholar   +1 more source

Churn Prediction in Banking System using K-Means, LOF, and CBLOF

2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2019
Customer churn prediction helps in identifying those customers who are probable to stop a subscriptions, products or services, and is therefore very essential for any business.
Irfan Ullah, Hameed Hussain, Iftikhar Ali, Anum Liaquat   +3 more
semanticscholar   +1 more source

Lof Van Vondel

Mémoires couronnés et autres mémoires publiés par l'Académie royale des sciences, des lettres et des beaux-arts de Belgique. Collection in-8°
Jager A. de. Lof Van Vondel . In: Mémoires couronnés et autres mémoires publiés par l'Académie royale des sciences, des lettres et des beaux-arts de Belgique. Collection in-8°. Tome 17, 1865. pp. 1-22.
openaire   +3 more sources

Abnormal Network Traffic Detection Based on Improved LOF Algorithm

International Conference on Intelligent Human-Machine Systems and Cybernetics, 2018
Aiming at the problems such as the accuracy and time complexity of existing abnormal network traffic detection methods, an abnormal network traffic detection method based on improved LOF algorithm is proposed in this paper.
Zong Gan, Xiaofeng Zhou
semanticscholar   +1 more source

Synchronous Generator LOF Protection Using a Detailed Model Based on IEEE Standard C37.102-2006

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2019
Detailed and realistic models of a generator and its associated excitation system are needed to accurately study the loss of field (LOF) phenomenon, while the well-known dq generator model, available in the conventional simulation programs, has some ...
Abbas Hasani, F. Haghjoo, C. Bak, F. Faria da Silva   +3 more
semanticscholar   +1 more source

A LOF-Based Method for Abnormal Segment Detection in Machinery Condition Monitoring

Prognostics and System Health Management Conference, 2018
Machinery condition monitoring has entered the era of big data and some research has been done based on big data. Abnormal segments, such as missing segments and drift segments, are inevitable in big data acquired from harsh industrial environment due to
Xuefang Xu, Y. Lei, Xin Zhou
semanticscholar   +1 more source

Martin-Löf random quantum states

Journal of Mathematics and Physics, 2017
We extend the key notion of Martin-L\"of randomness for infinite bit sequences to the quantum setting, where the sequences become states of an infinite dimensional system.
A. Nies, V. Scholz
semanticscholar   +1 more source

Notions of Anonymous Existence in Martin-Löf Type Theory

Log. Methods Comput. Sci., 2016
As the groupoid model of Hofmann and Streicher proves, identity proofs in intensional Martin-L\"of type theory cannot generally be shown to be unique. Inspired by a theorem by Hedberg, we give some simple characterizations of types that do have unique ...
Nicolai Kraus, M. Escardó, T. Coquand, Thorsten Altenkirch   +3 more
semanticscholar   +1 more source

LOF weighted KNN regression ensemble and its application to a die manufacturing company

Sādhanā, 2023
Gözde Öngelen, Tulin Inkaya
semanticscholar   +1 more source