ArrayThe evolving practice of big data analytics encompasses the aggregation of data from multiple sources, with the imperative of delivering metrics and reports that maintain a high standard of reliability and consistency. As stakeholders may interpretat the
Jelena Hađina +2 more
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OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking [PDF]
Proceedings of the 17th ACM Conference on Recommender Systems, 2023 accepted to ...
Blaz Skrlj, Blaž Mramor
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A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation [PDF]
Proceedings of the 2021 International Conference on Management of Data, 2021 Cardinality estimation is a fundamental problem in database systems. To capture the rich joint data distributions of a relational table, most of the existing work either uses data as unsupervised information or uses query workload as supervised information.
Wu, Peizhi, Cong, Gao
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Reconsidering the use of rankings in the valuation of health states: a model for estimating cardinal values from ordinal data [PDF]
Population Health Metrics, 2003 BACKGROUND: In survey studies on health-state valuations, ordinal ranking exercises often are used as precursors to other elicitation methods such as the time trade-off (TTO) or standard gamble, but the ranking data have not been used in deriving cardinal valuations.
Joshua A. Salomon
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The expressive power of cardinality-bounded set values in object-based data models
Theoretical Computer Science, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van den Bussche, Jan, van Gucht, D.
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Estimating population cardinal health state valuation models from individual ordinal (rank) health state preference data [PDF]
, 2004 Ranking exercises have routinely been used as warm-up exercises within health state valuation surveys. Very little use has been made of the information obtained in this process. Instead, research has focussed upon the analysis of health state valuation data obtained using the visual analogue scale, standard gamble and time trade off methods.
McCabe, C +6 more
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Subgraph Matching Cardinality Estimation Combining Heuristic and Boosting Method [PDF]
Jisuanji kexue yu tansuo, 2022 Attributed to its innate advantage in modeling relational information, graph data have been widely leveraged in various applications including social network, knowledge representation, etc. Compared with traditional relational database systems, primitive
HOU Wenzhe, ZHAO Xiang
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Reasoning with Finite Sets and Cardinality Constraints in SMT [PDF]
Logical Methods in Computer Science, 2018 We consider the problem of deciding the satisfiability of quantifier-free formulas in the theory of finite sets with cardinality constraints. Sets are a common high-level data structure used in programming; thus, such a theory is useful for modeling ...
Kshitij Bansal +3 more
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Remote Sensing, 2022 In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-quality sensing data. However, when the number of sensors to be selected is unknown in advance, sensor selection is essentially non-deterministic polynomial-hard (
Shuang Liang +3 more
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Hyperspectral Anomaly Detection with Auto-Encoder and Independent Target
Remote Sensing, 2023 As an unsupervised data representation neural network, auto-encoder (AE) has shown great potential in denoising, dimensionality reduction, and data reconstruction.
Shuhan Chen, Xiaorun Li, Yunfeng Yan
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