Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Amine El Ouassouli"'
Publikováno v:
IDEAS
In addition to sensor heterogeneity, monitoring applications must handle different temporal data models (e.g time series, event sequences). In this paper, we address the problem of discovering directly actionable high level knowledge from such data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d154f861b502eb604df758681b14dc1
https://doi.org/10.1145/3331076.3331112
https://doi.org/10.1145/3331076.3331112
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030275198
DaWaK
DaWaK
Data streams gathered from sensor systems can contain a significant amount of noise and are challenging to sequential pattern mining algorithms. A majority of existing approaches deals with such data as time point events to find before/after relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::843e4d8675d3b2ca074317279f5b3b82
https://doi.org/10.1007/978-3-030-27520-4_11
https://doi.org/10.1007/978-3-030-27520-4_11
