Article citationsMore>>

Figueiredo, M.A.T. and Jain, A.K. (2002) Unsupervised Learning of Finite Mixture Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 381-396.
https://doi.org/10.1109/34.990138

has been cited by the following article:

• TITLE: On the Use of k-NN in Anomaly Detection

  AUTHORS: Theocharis Tsigkritis, George Groumas, Moti Schneider

  KEYWORDS: k-NN, Fuzzy Logic, Matching Process, Network Security

  JOURNAL NAME: Journal of Information Security, Vol.9 No.1, January 16, 2018

  ABSTRACT: In this paper, we describe an algorithm that uses the k-NN technology to help detect threatening behavior in a computer network or a cloud. The k-NN technology is very simple and yet very powerful. It has several disadvantages and if they are removed the k-NN can be an asset to detect malicious behavior.