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Titlebook: Data Analytics and Management in Data Intensive Domains; 21st International C Alexander Elizarov,Boris Novikov,Sergey Stupnikov Conference

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21#
發(fā)表于 2025-3-25 03:28:49 | 只看該作者
On Information Search Measures and Metrics Within Integration of Information Systems on Inorganic Sus. In the field of inorganic chemistry and materials science, set-theoretic methods of searching for relevant information are known. They ensure the construction of a sufficiently high-quality response to user requests. However, the problem of quantifying evaluation of information search relevance i
22#
發(fā)表于 2025-3-25 09:08:06 | 只看該作者
Models Are Functioning in Scenarioshese scenarios. The scenario determines the function and thus the purpose of a model. This determination governs the acceptance in dependence of the utility that a model provides..We discuss in this paper the dependence of model kinds on four scenarios: communication scenario oriented on social aspe
23#
發(fā)表于 2025-3-25 15:03:14 | 只看該作者
24#
發(fā)表于 2025-3-25 17:28:10 | 只看該作者
Realization of Different Techniques for Anomaly Detection in Astronomical Databasesjustified by the existence of a large amount of astronomical data that can not be processed only by human resource. We evaluated five anomaly detection algorithms to find anomalies in the light curve data of the Open Supernova Catalog. Comparison of the algorithms revealed that expert supervised act
25#
發(fā)表于 2025-3-25 21:07:35 | 只看該作者
Modern Astronomical Surveys for Parameterization of Stars and Interstellar Mediumr many investigations of galactic and extragalactic objects. We have designed a method for determination of stellar parameters and interstellar extinctions from multicolor photometry. This method was applied to objects drawn from modern large photometric surveys. In this work, we give a review of th
26#
發(fā)表于 2025-3-26 01:23:30 | 只看該作者
27#
發(fā)表于 2025-3-26 06:16:00 | 只看該作者
28#
發(fā)表于 2025-3-26 09:08:41 | 只看該作者
Method for Expert Search Using Topical Similarity of Documentsmings of the methods that are currently used to solve this problem were analyzed. These shortcomings can be eliminated by analyzing large collections of sci-tech documents, the authors of which are potential experts on various topics. The article describes a method that forms a ranked list of expert
29#
發(fā)表于 2025-3-26 15:38:41 | 只看該作者
30#
發(fā)表于 2025-3-26 19:14:25 | 只看該作者
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