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Semantic Data Mining Based on Ranking in Internet-Enabled Information Systems
Dmitry Korzun, Anatoly Voronin, Ilya Shegelman
237 - 242
10.3233/FAIA190186
Research Article
Frontiers in Artificial Intelligence and Applications
Volume 320: Fuzzy Systems and Data Mining V
Abstract

Collaborative work environments are a particular case of Internet-enabled information systems where the role of data mining is essential in creating digital support for people working together. The support is in the form of smart services to access to up-to-date information and evaluate its relevance. In this paper, we present an adaptive strategy of active control information updates for use in dynamic collaborative activity. We show applicable ranking methods of semantic data mining for selecting relevant information in collaborative activity.

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