| dc.contributor.author | Лапицкая, О. В. | |
| dc.contributor.author | Шах, А. В. | |
| dc.coverage.spatial | Кишинев | ru_RU |
| dc.date.accessioned | 2022-03-31T12:36:02Z | |
| dc.date.available | 2022-03-31T12:36:02Z | |
| dc.date.issued | 2021 | |
| dc.identifier.citation | Лапицкая, О. В. Применение карт Кохонена при кластерном анализе маркетинговых исследований / О. В. Лапицкая, А. В. Шах // Conferinţa ştiinţifică internaţională "Strategii şi politici de management în economia contemporană", ediţia a 6-a, 26-27 martie 2021 / scientific committee : Cotelnic Ala [et al.] ; organizing committee : Negru Ion [et al.]. – Chişinău : ASEM, 2021. – Р. 365-368. | ru_RU |
| dc.identifier.uri | https://elib.gstu.by/handle/220612/25905 | |
| dc.description.abstract | Cluster analysis of market research is key in organizing marketing work that promotes to create a sustainable enterprise environment in the process of cyclical functioning of the market economy. The company is looking for an income segment that corresponds to its resources and opportunities. The ultimate goal of clustering the target market is to select a segment (or segments) of consumers to meet the needs of which will be the company's self-learning card algorithmic one of the options for clustering multidimensional vectors. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | ASEM | ru_RU |
| dc.subject | Сегментация | ru_RU |
| dc.subject | Кластерный анализ | ru_RU |
| dc.subject | Маркетинг | ru_RU |
| dc.subject | Принятие решений | ru_RU |
| dc.subject | Нейронные сети | ru_RU |
| dc.subject | Сеть Кохонена | ru_RU |
| dc.subject | Искусственный интеллект | ru_RU |
| dc.subject | Визуализация | ru_RU |
| dc.title | Применение карт Кохонена при кластерном анализе маркетинговых исследований | ru_RU |
| dc.title.alternative | Application of Kohonen maps in cluster analysis of marketing research | ru_RU |
| dc.type | Article | ru_RU |
| dc.identifier.udc | 339.138 | |
| dc.identifier.lbc | 65.291.31 | |
