z-logo
open-access-imgOpen Access
Dimension Reduction Methods on High Dimensional Streaming Data with Concept Drift
Author(s) -
Cheong Hee Park
Publication year - 2016
Publication title -
kips transactions on software and data engineering
Language(s) - English
Resource type - Journals
eISSN - 2734-0503
pISSN - 2287-5905
DOI - 10.3745/ktsde.2016.5.8.361
Subject(s) - dimensionality reduction , dimension (graph theory) , reduction (mathematics) , computer science , streaming data , data reduction , high dimensional , dimensional reduction , concept drift , clustering high dimensional data , data mining , theoretical computer science , algorithm , mathematics , artificial intelligence , data stream mining , geometry , pure mathematics , mathematical physics , cluster analysis

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