THE ARTICLE

ALGORITHM FOR DETERMINING THE MOST PROFITABLE AREAS FOR OPENING A BUSINESS BASED ON DATA MINING CLUSTERING

Authors

  • N.V. Malikov Kyrgyz-Russian Slavic University Bishkek, Kyrgyzstan
  • A.P. Kyrgyz-Russian Slavic University Bishkek, Kyrgyzstan

Keywords:

data mining, clustering, statistical analysis, big data processing, interactive geographic map.

Abstract

The paper analyzes the data of the network of public catering enterprises of the city, considers the data mining algorithm for processing and visualizing data on the geographical map of the city, and also develops an application that allows you to solve the problem of determining the areas of the city that are profitable for starting a business.

References

Барсегян и др. Методы и модели анализа данных: OLAP и Data Mining. – СПб., 2004.

Olson C.F. “Parallel Algorithms for Hierarchical Clustering” Parallel Computing, 1995, Vol. V21, P. 1313-1325.

Кластерный анализ. Url: https://ru.wikipedia.org/wiki/Кластерный_анализ (дата обращения 3.02.2017).

Data mining. Url: https://ru.wikipedia.org/wiki/Data_mining (дата обращения 20.01.2017).

Кластеризация точек на основе регулярной сети. Url: https://habrahabr.ru/post/138185/ (дата обращения 10.01.2017).

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Published

2022-06-28

Issue

No. 1 (2017): Automation and control problems

Section

Статьи

Categories

License

Copyright (c) 2017 Н.В. Маликов, А.П. Демиденко

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.