z-logo
open-access-imgOpen Access
Fuzzy Kernel k-Medoids algorithm for anomaly detection problems
Author(s) -
Zuherman Rustam,
Aini Suri Talita
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - Uncategorized
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4991258
Subject(s) - data mining , intrusion detection system , anomaly detection , computer science , benchmark (surveying) , fuzzy logic , cluster analysis , kernel (algebra) , fuzzy set , pattern recognition (psychology) , fuzzy clustering , medoid , artificial intelligence , mathematics , geodesy , combinatorics , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom