Identifying the parameters affecting e-marketing in e-business using decision tree algorithms

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Zangian Pezhman

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Scientific Information Database

ISSN: 2588-4824

Journal Paper

Paper Information

Journal: JOURNAL OF SKILL TRAINING Year:2020 | Volume:8 | Issue:30 Page(s): 101-120

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Title

Identifying the parameters affecting e-marketing in e-business using decision tree algorithms

Author(s)

Zangian Pezhman | Issue Writer Certificate

Keywords

e-marketingQ1

e-businessQ1

decision tree algorithmsQ1

Data analysisQ1

Abstract

e-marketing is defined as the marketing of products and services using digital channels, which is defined as the process of using digital technologies to gain customers and create customer preferences, promote the brand, retain customers and increase sales. The aim of this study is to identify the parameters affecting e-marketing in e-business using decision tree algorithms. This study examines electronic data mining techniques such as C&R Tree, Chaid and C5. 0 in Khogar Furniture online store by examining electronic marketing and related factors such as convenience, usefulness, trust, risk perception, digital culture of consumption. Responsibility, impact of digital environment, word of mouth and suggestion and criticism of products as inputs and e-marketing index as output were evaluated and the accuracy of the models was determined in two modes of training and testing. The Chaid Tree method was determined. It has a more favorable method than other methods.

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APA: Copy

Zangian, Pezhman. (2020). Identifying the parameters affecting e-marketing in e-business using decision tree algorithms. JOURNAL OF SKILL TRAINING, 8(30 ), 101-120. SID. https://sid.ir/paper/412222/en

Vancouver: Copy

Zangian Pezhman. Identifying the parameters affecting e-marketing in e-business using decision tree algorithms. JOURNAL OF SKILL TRAINING[Internet]. 2020;8(30 ):101-120. Available from: https://sid.ir/paper/412222/en

IEEE: Copy

Pezhman Zangian, “Identifying the parameters affecting e-marketing in e-business using decision tree algorithms,” JOURNAL OF SKILL TRAINING, vol. 8, no. 30 , pp. 101–120, 2020, [Online]. Available: https://sid.ir/paper/412222/en

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