Market Basket Analysis for Next Basket Item Prediction Using Data Mining and Machine Learning

Clicks: 1
ID: 313041
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #683 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Data Mining is one of the morst prominent approach used nowadays to identify sales patterns and features from large scale datasets. The primary objective of this research is to develop a model based on advaned Market Basket Analysis (MBA) to increase the sales of any orgnaization. This research focused on adoption of FP-Grwoth algorithm and Machine Learning (ML) algorithms to predict next item basket. Two widely used datasets French Retail Store Dataset (FRSD) and Bread Basket Dataset (BBD) were used for experiments. Experiments showed that FP-Growth algorithms produced most frequent items purchased by customers while ML classifiers such as Logistics Regression (LR), Random Forest (RF), K-Nearest Neighbors (KNN) and Decision Tree (DT) showed promising results. Among these ML classifiers RF produced promising accuracy of 0.922% and 0.930% using FRSC and BBD respectively. The proposed model has ability to predict next item basket. This model will help organization to increase their sales.
Reference Key
imported_1777058638_69ebc34e23295 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Javeria Altaf
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/355
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.