1. A Method of Static and Dynamic Pattern Analysis of Innovative Development of Russian Regions in the Long Run
- Author
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Ludmila Egorova, Galina Sagieva, Alexey L. Myachin, Fuad Aleskerov, and Leonid Gokhberg
- Subjects
Structure (mathematical logic) ,Engineering ,Similarity (geometry) ,Operations research ,business.industry ,computer.software_genre ,Term (time) ,Development (topology) ,Feature (machine learning) ,Dynamic pattern ,Data mining ,business ,computer ,Statics ,Panel data - Abstract
The term “pattern” refers to a combination of values of some features such that objects with these feature values significantly differ from other objects. This concept is a useful tool for the analysis of behavior of objects in both statics and dynamics. If the panel data describing the functioning of objects in time is available, we can analyze pattern changing behavior of the objects and identify either well adapted to the environment objects or objects with unusual and alarming behavior.In this paper we apply static and dynamic pattern analysis to the analysis of innovative development of the Russian regions in the long run and obtain a classification of regions by the similarity of the internal structure of these indicators and groups of regions carrying out similar strategies.
- Published
- 2014
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