Detecting Periodicity in Nonideal Datasets
Ronald K. Pearson, Harri J Lähdesmäki, Heikki J. Huttunen, Olli P. Yli-Harja · 2003
Many time-series encountered in data mining applications exhibit outliers, missing data, and small sample sizes (specifically, short time-series) that can cause standard methods to perform poorly. Motivated by requirements for the analysis of cDNA microarray time-series data, this paper describes a rank-based approach to periodic component detection for such time-series and examines its performance for several different simulation-based scenarios.