Works matching IS 13845810 AND DT 2023 AND VI 37 AND IP 2
Results: 15
BDRI: block decomposition based on relational interaction for knowledge graph completion.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 767, doi. 10.1007/s10618-023-00918-8
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Exploring uplift modeling with high class imbalance.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 736, doi. 10.1007/s10618-023-00917-9
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Residual projection for quantile regression in vertically partitioned big data.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 710, doi. 10.1007/s10618-022-00914-4
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DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 627, doi. 10.1007/s10618-022-00911-7
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- Article
Scalable classifier-agnostic channel selection for multivariate time series classification.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 1010, doi. 10.1007/s10618-022-00909-1
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On computing exact means of time series using the move-split-merge metric.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 595, doi. 10.1007/s10618-022-00908-2
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Generalized density attractor clustering for incomplete data.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 970, doi. 10.1007/s10618-022-00904-6
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Graph convolutional networks for traffic forecasting with missing values.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 913, doi. 10.1007/s10618-022-00903-7
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Difference embedding for recommender systems.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 948, doi. 10.1007/s10618-022-00899-0
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Functional classwise principal component analysis: a classification framework for functional data analysis.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 552, doi. 10.1007/s10618-022-00898-1
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Methods for explaining Top-N recommendations through subgroup discovery.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 833, doi. 10.1007/s10618-022-00897-2
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Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 873, doi. 10.1007/s10618-022-00895-4
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- Article
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 521, doi. 10.1007/s10618-022-00888-3
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Forecast evaluation for data scientists: common pitfalls and best practices.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 788, doi. 10.1007/s10618-022-00894-5
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MERLIN++: parameter-free discovery of time series anomalies.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 2, p. 670, doi. 10.1007/s10618-022-00876-7
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- Article