Time Series Data Mining

The time series data mining (TSDM) framework is a fundamental contribution to the fields of time series and data mining. Methods based on the time series data mining framework are able to successfully characterize and predict complex, non-parametric, irregular and chaotic time series. The time series data mining methods overcome limitations (including stationarity and linearity requirements) of traditional time series analysis technique by adapting data mining concepts for analyzing time series.

Autorentext

D. Venkatesan, PhD, Professor in Statistics, Annamalai University, India. He has published 45 research papers in the International Journals.R. Karnaboopathy, PhD, Assistant Professor cum Statistician in Shri Sathya Sai Medical College and Research Institute, Chennai. He has published 10 research papers and has 5 years of teaching experience.