Data analysis and visualization using spectral decomposition and feature selection
Areeb Kamran, Shafay Shamail, Mian Muhammad Awais · 2013
The aim of this study is to develop a technique to mine time series data and extract patterns from it which help it to be visualized easily. These visualizations can be static or dynamic while showing the long term dominant trends in data and subduing the short term recurring features. The focus is on time series data from economics and business.