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Found 15 papers, 2 papers with code
Sketching Multidimensional Time Series for Fast Discord Mining
In this work, we propose a sketch for discord mining among multi-dimensional time series.
Time Series Synthesis Using the Matrix Profile for Anonymization
As a result, unmodified data mining tools can obtain near-identical performance on the synthesized time series as on the original time series.
Ego-Network Transformer for Subsequence Classification in Time Series Data
The ego-networks of all subsequences collectively form a time series subsequence graph, and we introduce an algorithm to efficiently construct this graph.
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
PRCIS is a distance measure for long time series, which exploits recent progress in our ability to summarize time series with dictionaries.
Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series
The matrix profile is an effective data mining tool that provides similarity join functionality for time series data.
Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW
Over the last decade, time series motif discovery has emerged as a useful primitive for many downstream analytical tasks, including clustering, classification, rule discovery, segmentation, and summarization.
Features or Shape? Tackling the False Dichotomy of Time Series Classification
Time series classification is an important task in its own right, and it is often a precursor to further downstream analytics.
Time series classification for varying length series
Research into time series classification has tended to focus on the case of series of uniform length.
Representation Learning by Reconstructing Neighborhoods
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-apply in tasks such as dimension reduction, clustering, visualization, information retrieval, and semi-supervised learning.
The UEA multivariate time series classification archive, 2018
In 2002, the UCR time series classification archive was first released with sixteen datasets.
The UCR Time Series Archive
This paper introduces and will focus on the new data expansion from 85 to 128 data sets.
Admissible Time Series Motif Discovery with Missing Data
Although there has been more than a decade of extensive research, there is still no technique to allow the discovery of time series motifs in the presence of missing data, despite the well-documented ubiquity of missing data in scientific, industrial, and medical datasets.
Neighbor-encoder
By reformulating the representation learning problem as a neighbor reconstruction problem, domain knowledge can be easily incorporated with appropriate definition of similarity or distance between objects.
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy
Clustering time series under DTW remains a computationally expensive operation.
Flying Insect Classification with Inexpensive Sensors
The ability to use inexpensive, noninvasive sensors to accurately classify flying insects would have significant implications for entomological research, and allow for the development of many useful applications in vector control for both medical and agricultural entomology.
