Multi-period classification: learning sequent classes from temporal domains

DOI10.1007/S10618-014-0376-8zbMath1405.68291OpenAlexW2074024365WikidataQ61959023 ScholiaQ61959023MaRDI QIDQ1715877

Rui Henriques, Sara C. Madeira, Cláudia Antunes

Publication date: 29 January 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-014-0376-8

zbMATH Keywords

long-term predictionmulti-period classificationtime-sensitive supervised learning

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Uses Software

• UCI-ml
• WEKA
• C4.5
• AS 136
• PRMLT

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Supervised sequence labelling with recurrent neural networks.
• Gaussian process for nonstationary time series prediction
• Sequential event prediction
• Distance measures for biological sequences: some recent approaches

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