Results 181 to 190 of about 523,313 (224)

Time Series Classification

Journal of Statistics Applications & Probability, 2013
Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. The nature time series data includes: large in data size, high dimensionality and necessary to update continuously. The increasing use of time series data has initiated a great deal of research and developing attempts in ...
M. M. Gabr, L. M. Fatehy
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Unsupervised time series classification

Signal Processing, 1995
Abstract In this paper a scheme for unsupervised probabilistic time series classification is detailed. The technique utilizes autocorrelation terms as discriminatory features and employs the Volterra Connectionist Model (VCM) to transform the multi-dimensional feature information of each training vector to a one-dimensional classification space. This
J.J. Rajan, P.J.W. Rayner
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Topological Time-series Classification

2022
We establish a strong connection between Topological Data Analysis (TDA)and the field of time-series classification. This is accomplished via two novel contri- butions. The first is a method for extracting topological information from a time series in a manner which circumvents the expensive computation normally required.
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Classification of time series

2021
Το πρόβλημα της κατηγοριοποίησης είναι ένα διαχρονικό και παράλληλα επίκαιρο πρόβλημα που καλείται να λύσει ένας αλγόριθμος. Η κατηγοριοποίηση μπορεί να γίνει σε πολλούς τύπους δεδομένων. Τα τελευταία χρόνια με την αύξηση της ταχύτητας των δικτύων και της δυνατότητας αποθήκευσης δεδομένων, οι χρονοσειρές εισήλθαν δυναμικά στο πεδίο της εξόρυξης ...
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Scalable time series classification

Data Mining and Knowledge Discovery, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Genetic time series motif discovery for time series classification

International Journal of Biomedical Engineering and Technology, 2019
Time series is a sequence of continuous data and unbounded group of observations found in many applications. Time series motif discovery is an essential and important task in time series mining. Several algorithms have been proposed to discover motifs in time series.
E. Ramanujam, S. Padmavathi
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Early classification on time series

Knowledge and Information Systems, 2011
In this paper, we formulate the problem of early classification of time series data, which is important in some time-sensitive applications such as health informatics. We introduce a novel concept of MPL (minimum prediction length) and develop ECTS (early classification on time series), an effective 1-nearest neighbor classification method.
Zhengzheng Xing, Jian Pei, Philip S. Yu
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Explainable Multivariate Time Series Classification

Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021
Many real-world applications, e.g., healthcare, present multi-variate time series prediction problems. In such settings, in addition to the predictive accuracy of the models, model transparency and explainability are paramount. We consider the problem of building explainable classifiers from multi-variate time series data. A key criterion to understand
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant Honavar   +3 more
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Efficient Classification of Long Time-Series

2013
Time-series classification has gained wide attention within the Machine Learning community, due to its large range of applicability varying from medical diagnosis, financial markets, up to shape and trajectory classification. The current state-of-art methods applied in time-series classification rely on detecting similar instances through neighboring ...
Grabocka J., Bedalli E., Schmidt-Thieme L.   +2 more
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