caa a22 4500 445331755 CHVBK 20180317142739.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s10707-010-0112-5 doi (NATIONALLICENCE)springer-10.1007/s10707-010-0112-5 TIDES—a new descriptor for time series oscillation behavior [Elektronische Daten] [Leonardo Mariote, Claudia Medeiros, Ricardo Torres, Lucas Bueno] Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses the problems of indexing, clustering, classification, summarization, and anomaly detection. There is a wide range of techniques to describe and compare time series, but they focus on series' values. This paper concentrates on a new aspect—that of describing oscillation patterns. It presents a technique for time series similarity search, and multiple temporal scales, defining a descriptor that uses the angular coefficients from a linear segmentation of the curve that represents the evolution of the analyzed series. This technique is generalized to handle co-evolution, in which several phenomena vary at the same time. Preliminary experiments with real datasets showed that our approach correctly characterizes the oscillation of single time series, for multiple time scales, and is able to compute the similarity among sets of co-evolving series. Springer Science+Business Media, LLC, 2010 Time series similarity computation nationallicence Time series descriptor nationallicence Oscillation of series nationallicence Series co-evolution nationallicence Mariote Leonardo Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut Medeiros Claudia Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut Torres Ricardo Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut Bueno Lucas Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut GeoInformatica Springer US; http://www.springer-ny.com 15/1(2011-01-01), 75-109 1384-6175 15:1<75 2011 15 10707 https://doi.org/10.1007/s10707-010-0112-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-010-0112-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mariote Leonardo Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut NATIONALLICENCE 700 1- Medeiros Claudia Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut NATIONALLICENCE 700 1- Torres Ricardo Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut NATIONALLICENCE 700 1- Bueno Lucas Institute of Computing, University of Campinas—CP6176, 13084-851, Campinas, São Paulo, Brazil aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/1(2011-01-01), 75-109 1384-6175 15:1<75 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer