CUSTOMER PREFERABLE PRODUCT SETS GENERATION USING DATA MINING
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 1
Abstract
The process of extracting and identifying patterns from massive data sets using techniques that lie at the confluence of database systems, statistics, and machine learning is known as data mining. The overall objective of data mining, an interdisciplinary branch of computer science and statistics, is to extract information from a data collection (using clever techniques) and organize it into a structure that can be understood and used further. In this work, we will analyze the online retail data using data mining techniques to generate customer preferable sets to improve the company's overall income.
Authors and Affiliations
Abdurashitova Muniskhon, Khamidulla Khabibullaev, Ugiloy Saidova
Keywords
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- EP ID EP729941
- DOI 10.5281/zenodo.10547029
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