The alignment of noisy and uniformly scaled time series is an important but difficult task. Given two time series, one of which is a uniformly stretched subsequence of the other, w...
Constanze Lipowsky, Egor Dranischnikow, Herbert G&...
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
During the past few years, several studies have been made on the performance of real-time database systems with respect to the number of transactions that miss their deadlines. Th...
Abstract—In the analysis of spatially-referenced timedependent
data, gaining an understanding of the spatiotemporal
distributions and relationships among the attributes
in the...