A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams

1 code implementation • ACM SIGKDD international conference on Knowledge discovery and data mining 2015 • Abdulhakim A. Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang

In this paper, we propose a framework for detecting changes in multidimensional data streams based on principal component analysis, which is used for projecting data into a lower dimensional space, thus facilitating density estimation and change-score calculations.

Change Detection Density Estimation