Mining Interest In Online Shoppers’ Data: An Association Rule Mining Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63517290" target="_blank" >RIV/70883521:28120/17:63517290 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Mining Interest In Online Shoppers’ Data: An Association Rule Mining Approach

Original language description

Online shopping, as a form of e-commerce, is not nearing extinction anytime soon. As the interplay between shoppers and vendors continues to grow in the midst of complex transactional data, extracting knowledge from the data has become imperative. In view of this, this paper explores the use of the association rule mining technique to glean relevant information from such shopper-vendor interactions. In particular, this paper looks at some of the unusual, frequent relationships existing between online shoppers on one hand, and vendors on the other hand in the Czech Republic. The results revealed with higher confidence values the following: (1) there is a strong association between criteria for buying items on the Internet and information gathered before initiating an online transaction; (2) a sizable number of online customers engage in online shopping because of the price attached to the product in question; and (3) a greater proportion of online customers engage in online transactions through specialized e-shops. The work provides general insights into how shopper-vendor transactional data can be explored.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Polytechnica Hungarica

ISSN

1785-8860

e-ISSN

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Volume of the periodical

2017

Issue of the periodical within the volume

14

Country of publishing house

HU - HUNGARY

Number of pages

18

Pages from-to

143-160

UT code for WoS article

000423414600009

EID of the result in the Scopus database

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