Results 11 to 20 of about 56,633 (135)
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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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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Entropy, 2020 Quantifying uncertainty is a hot topic for uncertain information processing in the framework of evidence theory, but there is limited research on belief entropy in the open world assumption.
Bin Yang +3 more
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On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning
Mathematics, 2021 The hub location problem (HLP) basically consists of selecting nodes from a network to act as hubs to be used for flow traffic directioning, i.e., flow collection from some origin nodes, probably transfer it to other hubs, and distributing it to ...
Laureano F. Escudero, Juan F. Monge
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Multi-Period Portfolio Optimization Using Dynamic Programming Approach [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2018 Portfolio selection has always been one of the important issues in the field of investment management, which discusses how to allocate an investor's capital to different assets and form an efficient portfolio.
Negin Mohebbi, Amir Abbas Najafi
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Scalable aggregation predictive analytics: a query-driven machine learning approach [PDF]
, 2017 We introduce a predictive modeling solution that provides high quality predictive analytics over aggregation queries in Big Data environments. Our predictive methodology is generally applicable in environments in which large-scale data owners may or may ...
Anagnostopoulos, Christos +2 more
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Advances and Challenges in Machine Learning-Based Cardinality Estimation for Database Query Optimization [PDF]
ITM Web of ConferencesAccurate cardinality estimation is critical for optimizing database queries, yet traditional methods often fail to provide reliable predictions in the face of complex queries, skewed data distributions, and high-dimensional schemas.
Guan Zhibin
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