Noise Removal Framework for Market Basket Analysis

Gangurde, Roshan; Kumar, Binod; Gore, Sonal

doi:10.1007/978-981-13-1423-0_24

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Since the World Health Organization (WHO) announced the coronavirus outbreak or Covid-19 as a pandemic, there have been many changes in various factors, one of which is in the retail business sector (Bre, Gimenez, & Fachinotti, 2018;Gangurde, Kumar, & Gore, 2017;Setiawan & Mulyanti, 2020a). Especially with the appeal from the Indonesian government to stay at home to combat the Covid-19 pandemic and the implementation of large-scale social restrictions (PSBB) in various regions, it has an impact on people's buying behavior patterns.…”

Section: Introductionmentioning

confidence: 99%

Contextual Market Basket Analysis during Covid-19

Mooy,

Isa

2023

jss

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One form of Data Mining application to analyze Market Basket Analysis. Market Basket Analysis helps identify buying patterns formed from concurrent transactions. One of the problems with Market Basket Analysis is that customer needs vary according to season and time of day, especially during this covid-19 season. For this purpose, by using the Artificial Neural Network (ANN) Approach that is connected to Market Basket Analysis, it can analyze and compare purchasing patterns and can identify rules that were formed before and after covid-19; several rule changes were found due to changes in people's behavior patterns.

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Section: Introductionmentioning

confidence: 99%

Contextual Market Basket Analysis during Covid-19

Mooy,

Isa

2023

jss

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“…A predictive MBA is established to predict buyer behavior to find relationships between various products from their market basket. In essence, it seeks to imitate the market to examine what factors influence events by determining cross-selling, considering items purchased in a particular order [22]. Differential MBAs can identify noteworthy outcomes and solve the issue of a potentially high volume of unimportant outcomes [23].…”

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confidence: 99%

Bibliometric study of association rule-market basket analysis

Yanti,

Elquthb,

Rachmadewi

et al. 2024

IJAAS

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Association rule-market basket analysis (AR-MBA) is a data mining technique for finding distinguished relationship patterns from a collection of items. The application of AR-MBA is also increasingly widespread, starting from retail and hotels to hospitals. So, bibliometrics related to AR-MBA needs to be done to reveal what research opportunities can be later carried out by reviewing and analyzing publications about AR-MBA. 91 bibliographies in 1 decade from 2012-2022 were collected using Harzing's Publish or Perish (PoP). VOSviewer is also employed to map authorship and publication topic trends. This paper is innovative because it identifies trends and future research directions in data mining, specifically in association with AR-MBA. The findings show publication productivity, top authors, types of publications, annual topic trends within a decade, term distribution, most cited and most influential articles, and research gaps that can be opportunities for further research.

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Noise Removal Framework for Market Basket Analysis

Cited by 2 publications

References 7 publications

Contextual Market Basket Analysis during Covid-19

Contextual Market Basket Analysis during Covid-19

Bibliometric study of association rule-market basket analysis

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