The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
This paper proposes a parallel cycle-accurate microarchitectural simulator which efficiently executes its workload by splitting the simulation process along time-axis into many in...
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Similarity search in time series databases usually deals with comparing entire time series objects or subsequence search. In this paper, we formalize the notion of interval-focused...