Volume 14 Number 2 Year - 2020

Number of articles: 20



IDENTIFYING CLUSTERS IN INNOVATIVE ENGINEERING ON THE BASE OF DATA MINING AND CHAOS THEORY

Authors: Oksana M. Kulikova, Vitaliy A. Shamis, Tamara P. Sidorova

Abstract: The study is based on hypotheses that the formation of clusters in engineering occurs spontaneously, and their life cycle passes through different stages. In this regard, formed clusters affect other clusters and economic structures, including the yield of products in them.Results: 1) A set of indicators for the identification of innovative engineering clusters and determining the stage of their life cycle was developed. 2) The regularities of the functioning of innovative engineering clusters at each stage of its life cycle are determined. 3) The values of the indicators for each stage of the lifecycle of innovative industrial clusters.A set of indicators developed by the authors to identify clusters of innovative engineering and determine the stage of their life cycle allows with sufficient accuracy to solve the task of pattern recognition in the study of the processes and management of development of cluster structures in the study area.

Keywords: Innovative engineering clusters; Stage of cluster life cycle; Data mining; Chaos theory

DOI: 10.24874/IJQR14.02-11

Article info: pp. 505-522

Recieved: 10.12.2018  Accepted: 19.04.2019  UDC: 05.311   Downloads: 815


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