Knowledge Identification by Structured Data for Decision Making in Project Teams

DOI

10.2991/aisr.k.201029.072How to use a DOI?

Keywords

Data mining, production rules, Kohonen maps/Self-organizing map, decision support

Abstract

The methodology of information support for decision-making in the formation of the project team was presented in this article. The object of the research is the process of the project team’s formation before the start of the project. The subject of research is a set of methods and means of organizing information support for decision-making in the formation of a project team. Aim of this research work is organization of information support for decision-making in the process of forming a project team to improve the quality of decisions. The proposed methodology includes collection and preparation of data for analysis, identification of new knowledge based on similarity of objects using clustering, their integration with expert knowledge, formalization of knowledge and formation of the knowledge base, obtaining solutions while making use of knowledge and inference engine. Application of tools for data mining, namely the analytical platform Deductor Studio, are shown. The results of experimental studies based on the proposed method are provided.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nafisa Yusupova
AU  - Olga Smetanina
AU  - Aygul Agadullina
AU  - Ekaterina Sazonova
PY  - 2020
DA  - 2020/11/10
TI  - Knowledge Identification by Structured Data for Decision Making in Project Teams
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 385
EP  - 390
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.072
DO  - 10.2991/aisr.k.201029.072
ID  - Yusupova2020
ER  -