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

• Main Authors: Оksana М. Kulikovа, Vitaliy A. Shamis, Tamara P. Sidorova
• Format: Article
• Language: English
• Published: Center for Quality, Faculty of Engineering, University of Kragujevac, Serbia 2020-06-01
• Series: International Journal for Quality Research
• Subjects: innovative engineering clusters; stage of cluster life cycle; data mining; chaos theory
• Online Access: http://www.ijqr.net/journal/v14-n2/11.pdf

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.