A Review on Time Series Dimensionality Reduction
Sagarkumar S. Badhiye · Helix · 2018
Time series is a sequential collection of values with respect to time obtained from various applications.The time series data have basic features like huge data size, high dimensionality with characteristics like trend, cyclical, seasonal, and irregular.The cumulative use of time series data has initiated a great deal of research and development attempts in the field of data mining.Dimensionality of time series is directly proportional to the efficiency of various data mining algorithms used for time series analysis.In this paper, a widespread review on the existing time series dimensionality reduction methods is given.The chief objective of this paper is to aid interested researchers to have a general idea about the current investigation in time series dimensionality reduction methods and identify their potential research direction to advance investigation in the same.The papers also discuss about the possibilities of using automata model for time series dimensionality reduction.