Titlebook: Data Analytics and Management in Data Intensive Domains; 22nd International C Alexander Sychev,Sergey Makhortov,Bernhard Thalhei Conference

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Pragmatic Interoperability and?Translation of Industrial Engineering Problems into Modelling and Sim modelling, which refers to mapping industrial research and development problems onto solutions by modelling and simulation. For associated roles and processes, substantial previous standardization efforts have been carried out by the European Materials Modelling Council (EMMC ASBL). In the present

IDEAS

Analysis of the Semantic Distance of Words in the RuWordNet Thesauruselations of inclusion or meanings intersection. Basing on the obtained data, recommendations to reduce the distances between analogues were formulated for RuWordNet; and general principles of analysis were proposed, which could be useful for RuWordNet verifying.

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EMG and EEG Pattern Analysis for Monitoring Human Cognitive Activity during Emotional Stimulationsifies and a power spectrum shifts to the low-frequency region.An emotional state interpreter based on a neural-like hierarchical structure was used to classify EMG patterns. The classification success was 93%. The authors have determined spectral characteristics and attractors of EEG patterns. The

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漂白

Databases of Gamma-Ray Bursts’ Optical Observationsan be counted on the fingers of one hand. Statistical analysis is still a main instrument of GRB investigation. We give a review of available optical databases of GRBs and present the original database constructed using optical observations of the Space Research Institute GRB Follow-up Network. We p

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Part of Speech and Gramset Tagging Algorithms for Unknown Words Based on?Morphological Dictionaries thm. 90.7% of Karelian words and 95.3% of Vepsian words were assigned a correct gramset by our algorithm. Morphological and semantic tagging of texts, which are closely related and inseparable in our corpus processes, are described in the paper.

Acetabulum

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Cities of the Future, Cities for Alld of relevant backward inference (LP-inference), which significantly reduces the number of queries to external sources of information. This result is especially relevant when processing big data and managing large volumes of knowledge. The basis of LP-inference is the apparatus of production-logical