Experiencing SAX: a novel symbolic representation of time series
Top Cited Papers
- 3 April 2007
- journal article
- research article
- Published by Springer Nature in Data Mining and Knowledge Discovery
- Vol. 15 (2) , 107-144
- https://doi.org/10.1007/s10618-007-0064-z
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- New approaches for representing, analyzing and visualizing complex kinetic mechanismsPublished by Elsevier ,2005
- Multi‐level temporal abstraction for medical scenario constructionInternational Journal of Adaptive Control and Signal Processing, 2004
- Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL PrinciplePublished by Springer Nature ,2003
- A review of symbolic analysis of experimental dataReview of Scientific Instruments, 2003
- Pattern Extraction for Time Series ClassificationPublished by Springer Nature ,2001
- Dimensionality Reduction for Fast Similarity Search in Large Time Series DatabasesKnowledge and Information Systems, 2001
- An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining ResearchPublished by Springer Nature ,2001
- Probabilistic and Statistical Properties of Words: An OverviewJournal of Computational Biology, 2000
- Fast subsequence matching in time-series databasesACM SIGMOD Record, 1994
- Methods for discovering novel motifs in nucleic acid sequencesBioinformatics, 1989