Models and Methods of Classification of Innovation Market Information

DOI

10.2991/aebmr.k.200324.091How to use a DOI?

Keywords

innovation, innovation market, information, classification, clustering, clustering models, Hamming metric, clustering algorithm

Abstract

The importance of innovation as a product on the market field in the conditions of transformation of means of promotion, digitalization, and expansion of sales channels on the Internet is discussed in the article. The authors’ vision of classifying innovations by the type based on a subjective approach has been developed: manufacturers who formulate supply on the market and buyers (customers) that determine real and potential demand. The informative characteristics of the types of innovations are based on nominal features that are of practical value to the main agents of the market. The selection of informative features of innovation is based on clustering methods. The Hamming metric is proposed as an effective way to determine the measure of distances. The search for the necessary information and data processing in the innovation market is carried out using modeling tools. Clustering algorithms are proposed as adequate models of intersecting. The clustering algorithm solves the problem of dividing the sample of signs of innovation into clusters that are similar by certain criteria (scientific novelty, patent protection, etc.), depending on the type of innovation as a product (patent, technology, etc.). The proposed classification of innovations will allow to position innovation on the market as an object of sale. Modeling tools accumulate, group, process, coordinate and manage innovation market information when making management decisions.

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  - Berg Tatiana Igorevna
AU  - Stupina Alena Aleksandrovna
AU  - Erygin Yuri Vladimirovich
AU  - Yurdanova Vera Nikolaevna
AU  - Korpacheva Larisa Nikolaevna
AU  - Ruiga Irina Rudolfovna
PY  - 2020
DA  - 2020/03/30
TI  - Models and Methods of Classification of Innovation Market Information
BT  - Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)
PB  - Atlantis Press
SP  - 486
EP  - 491
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200324.091
DO  - 10.2991/aebmr.k.200324.091
ID  - Igorevna2020
ER  -