BIG DATA: INTELLIGENT MARKET BASKET ANALYSIS

The theses present the results of applying data mining methods, in particular the Apriori algorithm, for market basket analysis based on a real set of supermarket transactions. This approach made it possible to identify significant association rules and patterns of joint purchases that can be used to optimize business strategies in various fields.

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Publication Details

Journal
Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"
Published
2025-05-20
DOI
https://doi.org/10.34132/mspc2025.01.06.36
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

BIG DATA: INTELLIGENT MARKET BASKET ANALYSIS

Gennady Chuiko
Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"
Big Data and Business Intelligence
article

BIG DATA: INTELLIGENT MARKET BASKET ANALYSIS

Gennady Chuiko
article en

Abstract

The theses present the results of applying data mining methods, in particular the Apriori algorithm, for market basket analysis based on a real set of supermarket transactions. This approach made it possible to identify significant association rules and patterns of joint purchases that can be used to optimize business strategies in various fields.

Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University"(1)
Petro Mohyla Black Sea National University (UA)
Openalex Percentile: Top 54%
Big Data and Business Intelligence
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BIG DATA: INTELLIGENT MARKET BASKET ANALYSIS — Gennady Chuiko · Scientific and Practical Journal "Materials of Scientific Conferences of the Petro Mohyla Black Sea National University" (2025) | TGRS Research Map | TGRS