In recent years there has been an increasing trend in which data scientists and domain
experts work together to tackle complex scientific questions. However, such collaborations …

Currently, enhancing the efficiency of vulnerability detection and assessment remains
relevant. We investigate a new approach for the detection of vulnerabilities that can be used …

As the twin movements of open science and open source bring an ever greater share of the
scientific process into the digital realm, new opportunities arise for the meta-scientific study …

When designing data science (DS) pipelines, end-users can get overwhelmed by the large
and growing set of available data preprocessing and modeling techniques. Intelligent …

Одной из важнейших задач мониторинга информа8 ционной безопасности является
автоматизация процес8 са выявления и оценивания слабых мест защищаемой …

This paper presents the method for the automatization of the data analytical processes using
the semantic technologies. The core of the automatization is the machine-readable semantic …

The process industries rely on various software systems and use a wide range of
technologies. Predictive modeling techniques are often applied to data obtained from these …

Ontologies are usually applied to drive intelligent applications and also as a resource for
integrating or extracting information, as in the case of Natural Language Processing (NLP) …

Techniques for generating and searching semantic flow graphs are provided that include
creating, by a system operatively coupled to a processor employing a semantic flow graph …

Nowadays in industry sensor data are used. This needs to be shared in many areas for
making the prediction. Also, it needs to be optimized for making the things to do …