Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle
- 1 February 2005
- journal article
- research article
- Published by Springer Science and Business Media LLC in Machine Learning
- Vol. 58 (2-3), 269-300
- https://doi.org/10.1007/s10994-005-5829-2
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Experiments with random projections for machine learningPublished by Association for Computing Machinery (ACM) ,2003
- Probabilistic discovery of time series motifsPublished by Association for Computing Machinery (ACM) ,2003
- On the Discovery of Weak Periodicities in Large Time SeriesLecture Notes in Computer Science, 2002
- Finding motifs using random projectionsPublished by Association for Computing Machinery (ACM) ,2001
- Discovering similar patterns in time seriesPublished by Association for Computing Machinery (ACM) ,2000
- Independent component analysis: algorithms and applicationsNeural Networks, 2000
- On Clustering fMRI Time SeriesNeuroImage, 1999
- Time-series active search for quick retrieval of audio and videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- A Projection Pursuit Algorithm for Exploratory Data AnalysisIEEE Transactions on Computers, 1974
- Fitting autoregressive models for predictionAnnals of the Institute of Statistical Mathematics, 1969