99 citations · 441 across the 67 of their papers we have counts for
10 papers · 2 filters
Scalable Data Series Subsequence Matching with ULISSE
Michele Linardi, Themis Palpanas
Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections. Despite the fact that data se…
MESSI: In-Memory Data Series Indexing
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deli…
ParIS+: Data Series Indexing on Multi-Core Architectures
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. Nevertheless, even state-of-the-art techniques cannot…
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series
Michele Linardi, Yan Zhu, Themis Palpanas +1
In the last fifteen years, data series motif and discord discovery have emerged as two useful and well-used primitives for data series mining, with applications to many domains, in…
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series
Michele Linardi, Yan Zhu, Themis Palpanas +1
Data series motif discovery represents one of the most useful primitives for data series mining, with applications to many domains, such as robotics, entomology, seismology, medici…
Coconut: a scalable bottom-up approach for building data series indexes
Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1
Many modern applications produce massive amounts of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…