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Transactions of the American Mathematical Society, 1933 Solomon Lefschetz, J. H. C. Whitehead
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Causality and analyticity [PDF]
Transactions of the American Mathematical Society, 1955 Y. Fourès, I. E. Segal
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Acknowledgment to the Reviewers of Analytics in 2022
Analytics, 2023 High-quality academic publishing is built on rigorous peer review [...]
Analytics Editorial Office
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Iraqi Journal for Computers and Informatics, 2022 Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional ...
Wasnaa Kadhim Jawad, Abbas M. Al-Bakry
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The use of Big Data Analytics in healthcare
Journal of Big Data, 2022 The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare.
Kornelia M. Batko, A. Ślęzak
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Journal of High Energy Physics, 2023 Abstract The wavefunction in quantum field theory is an invaluable tool for tackling a variety of problems, including probing the interior of Minkowski spacetime and modelling boundary observables in de Sitter spacetime. Here we study the analytic structure of wavefunction coefficients in Minkowski as a function of their kinematics.
Santiago Agüí Salcedo +3 more
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Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics [PDF]
, 2020 Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while ...
Herden, Tino T.
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Neural Factorization Machines for Sparse Predictive Analytics [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 Many predictive tasks of web applications need to model categorical variables, such as user IDs and demographics like genders and occupations. To apply standard machine learning techniques, these categorical predictors are always converted to a set of ...
Xiangnan He, Tat-Seng Chua
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FORMATION OF AN ACCOUNTING AND ANALYTICAL SYSTEM FOR MANAGING PRODUCTION STOCKS
Фінансово-кредитні системи: перспективи розвитку., 2023 Inventory management is an important component of effective business operation. However, many companies face problems regarding reliable accounting and rational use of inventories.
Yuliia Peniak +2 more
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Big spatial data for urban and environmental sustainability
Geo-spatial Information Science, 2020 Eighty percent of big data are associated with spatial information, and thus are Big Spatial Data (BSD). BSD provides new and great opportunities to rework problems in urban and environmental sustainability with advanced BSD analytics.
Bo Huang, Jionghua Wang
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