Application of Open Source Data Mining Software Weka in Marketing Teaching

Zhengteng Hao

Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Application of Open Source Data Mining Software Weka in Marketing Teaching

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-87903-7_44,
    author={Zhengteng Hao},
    title={Application of Open Source Data Mining Software Weka in Marketing Teaching},
    proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
    proceedings_a={BIGIOT-EDU PT2},
    year={2021},
    month={10},
    keywords={Weka Marketing teaching Apriori correlation method Shopping basket analysis},
    doi={10.1007/978-3-030-87903-7_44}
}

Zhengteng Hao
Year: 2021
Application of Open Source Data Mining Software Weka in Marketing Teaching
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_44

Zhengteng Hao¹

1: Qinghai Nationalities University

Abstract

Marketing is a professional basic course for economic management students. In the process of teaching, we should not only teach students theoretical knowledge, but also teach students to integrate into the real economic management activities. In order to stimulate students’ interest in learning and improve students’ practical ability, this paper discusses the teaching method of introducing open source data mining software Weka into classroom teaching, and gives practical teaching examples to improve the teaching effect. The training quality of the marketing course has been a useful attempt, and the classroom effect is good.

Keywords: Weka Marketing teaching Apriori correlation method Shopping basket analysis

Published: 2021-10-18
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-87903-7_44