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Deep Learning based Market Basket Analysis using Association Rules 基于深度学习的关联规则购物篮分析

KIET journal of computing and information sciences Pub Date : 2023-08-07 DOI: 10.51153/kjcis.v6i2.166

Hamid Ghous, Mubasher Malik, Iqra Rehman

{"title":"Deep Learning based Market Basket Analysis using Association Rules","authors":"Hamid Ghous, Mubasher Malik, Iqra Rehman","doi":"10.51153/kjcis.v6i2.166","DOIUrl":"https://doi.org/10.51153/kjcis.v6i2.166","url":null,"abstract":"Market Basket Analysis (MBA) is a data mining technique assisting retailers in determining the customer's buying habits while making new marketing decisions as the buyer's desire frequently changes with expanding needs; therefore, transactional data is getting large every day. There is a demand to implement Deep Learning (DL) methods to manipulate this rapidly growing data. In previous research, many authors conducted MBA applying DL and association rules (AR) on retail datasets. AR identifies the association between items to find in which order the customer place items in the basket. AR is only used in mining frequently purchased items from retail datasets. There is a gap in classifying these rules and predicting the next basket item using DL on the transactional dataset. This work proposes a framework using AR as a feature selection while applying DL methods for classification and prediction. The experiments were conducted on two datasets, InstaCart and real-life data from Bites Bakers, which operates as a growing store with three branches and 2233 products. The AR classified at 80,20 and 70,30 splits using CNNN, Bi- LSTM, and CNN-BiLSTM. The results considering simulation at both splits show that Bi-LSTM performs with high accuracy, around 0.92 on the InstaCart dataset. In contrast, CNN-BiLSTM performs best at an accuracy of around 0.77 on Bites Bakers dataset.","PeriodicalId":485942,"journal":{"name":"KIET journal of computing and information sciences","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135999291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stock Prediction for ARGAAM Companies Dataset ARGAAM公司数据集的股票预测

KIET journal of computing and information sciences Pub Date : 2023-08-07 DOI: 10.51153/kjcis.v6i2.150

Noman Islam, Salis Khizar Khan, Abdul Rehman, Usman Aftab, Darakhshan Syed

引用次数: 1