منابع مشابه
Exact Discovery of Time Series Motifs
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computational biology, this similarity hints at structure which has been conserved for some reason and may therefore be of interest. Since the formalism of time series motifs in 2002, dozens of researchers have used them for d...
متن کاملDiscovery of motifs to forecast outlier occurrence in time series
The forecasting process of real-world time series has to deal with especially unexpected values, commonly known as outliers. Outliers in time series can lead to unreliable modeling and poor forecasts. Therefore, the identification of future outlier occurrence is an essential task in time series analysis to reduce the average forecasting error. The main goal of this work is to predict the occurr...
متن کاملParallel discovery of network motifs
Many natural structures can be naturally represented by complex networks. Discovering network motifs, which are overrepresented patterns of inter-connections, is a computationally hard task related to graph isomorphism. Sequential methods are hindered by an exponential execution time growth when we increase the size of motifs and networks. In this article we study the opportunities for parallel...
متن کاملAutomatic Discovery of Protein Motifs
We have developed a novel representation of protein motifs that permits the rapid discovery of structural features in sets of protein sequences with a common structure or function. Many popular methods for representing protein motifs (consensus sequences, weight matrices, profiles, etc.) emphasize conservation of amino acids at specific sites in the sequence. Our method looks for correlations b...
متن کاملEfficient Discovery of Time Series Motifs with Large Length Range in Million Scale Time Series
Detecting repeated variable-length patterns, also called variable-length motifs, has received a great amount of attention in recent years. Current state-of-the-art algorithm utilizes fixed-length motif discovery algorithm as a subroutine to enumerate variable-length motifs. As a result, it may take hours or days to execute when enumeration range is large. In this work, we introduce an approxima...
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ژورنال
عنوان ژورنال: Intelligent Data Analysis
سال: 2020
ISSN: 1088-467X,1571-4128
DOI: 10.3233/ida-194759