Results 211 to 220 of about 19,696,345 (257)

Time series envelopes for classification

2010 5th IEEE International Conference Intelligent Systems, 2010
In this paper we considered a streaming data classification problem. First we introduced a concept of upper and lower envelopes of time series in order to reduce dimensionality of them. Next we merged machine learning tools like feedforward neural networks for selection principal attributes as well as decision rules of the form if … then … for time ...
Maciej Krawczak, Grazyna Szkatula
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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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Compressed learning for time series classification

2016 IEEE International Conference on Big Data (Big Data), 2016
The time series classification has been studied for various applications in the last decades. In the time series classification problem, we decide the class information based on a small piece of the time series inputs. In general, the approaches to time series classification can be categorized into three types, distance-based, model-based, and feature ...
Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, Xin-Rong Chen   +4 more
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Early classification on multivariate time series

Neurocomputing, 2015
Multivariate time series (MTS) classification is an important topic in time series data mining, and has attracted great interest in recent years. However, early classification on MTS data largely remains a challenging problem. To address this problem without sacrificing the classification performance, we focus on discovering hidden knowledge from the ...
Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang   +5 more
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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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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 ...
Josif Grabocka, Erind Bedalli, Lars Schmidt-Thieme   +2 more
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Semi-supervised time series classification

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data. In reality, such data may be very difficult or expensive to obtain. For example, it may require the time and expertise of cardiologists, space launch technicians, or other ...
Li Wei 0001, Eamonn J. Keogh
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Description and classification of granular time series

Soft Computing, 2014
The study is concerned with a concept and a design of granular time series and granular classifiers. In contrast to the plethora of various models of time series, which are predominantly numeric, we propose to effectively exploit the idea of information granules in the description and classification of time series.
Rami Al-Hmouz, Witold Pedrycz, Abdullah Saeed Balamash, Ali Morfeq   +3 more
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Time Series based Gastropod Classification

2018 10th International Conference on Knowledge and Smart Technology (KST), 2018
This paper presents Series-K, an automatic Gastropod classification system based on Time Series and k-Nearest Neighbor. Species evolve over time. Biologists have discovered, attempted to describe and put them into categories. Our proposed method automatically processes gastropods’ images to help the malacologists accurately identify gastropods into ...
Janya Onpans, Nutthanon Leelathakul, Sunisa Rimcharoen   +2 more
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Reliable early classification of time series

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Early classification of time series is important in time-sensitive applications. An approach is presented for early classification using generative classifiers with the dual objectives of providing a class label as early as possible while guaranteeing with high probability that the early class matches the class that would be assigned to a longer time ...
Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta   +3 more
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