Works matching IS 13845810 AND DT 2019 AND VI 33 AND IP 3
Results: 10
Editor's Note.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 697, doi. 10.1007/s10618-019-00629-z
- Publication type:
- Article
Guest Editorial: Special Issue on Data Mining for Geosciences.
- Published in:
- 2019
- By:
- Publication type:
- Editorial
Proximity Forest: an effective and scalable distance-based classifier for time series.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 607, doi. 10.1007/s10618-019-00617-3
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- Publication type:
- Article
An effective and versatile distance measure for spatiotemporal trajectories.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 577, doi. 10.1007/s10618-019-00615-5
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- Publication type:
- Article
EACD: evolutionary adaptation to concept drifts in data streams.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 663, doi. 10.1007/s10618-019-00614-6
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- Publication type:
- Article
Modeling and elucidation of housing price.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 636, doi. 10.1007/s10618-018-00612-0
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- Publication type:
- Article
Dynamic detection of anomalous regions within distributed acoustic sensing data streams using locally stationary wavelet time series.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 748, doi. 10.1007/s10618-018-00608-w
- By:
- Publication type:
- Article
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 730, doi. 10.1007/s10618-018-00607-x
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- Publication type:
- Article
Concept drift over geological times: predictive modeling baselines for analyzing the mammalian fossil record.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 773, doi. 10.1007/s10618-018-0606-6
- By:
- Publication type:
- Article
Spatial autocorrelation and entropy for renewable energy forecasting.
- Published in:
- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 698, doi. 10.1007/s10618-018-0605-7
- By:
- Publication type:
- Article