Journal
PROCEEDINGS OF THE 2019 5TH INTERNATIONAL CONFERENCE ON E-BUSINESS AND APPLICATIONS (ICEBA 2019)
Volume -, Issue -, Pages 100-104Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3317614.3317626
Keywords
Market segmentation; Clustering; K-means; Black Friday; Machine learning
Ask authors/readers for more resources
In recent years, machine learning is widely used to support human decision making in several related scientific areas such as medical, biological, image processing and so on. However in market classification, marketing segmentation is facing numerous challenges in defining specific target customer zones to help enterprises launching their marketing strategies. On the other hand, modem technologies and programming languages are providing support for statistical estimations and graphic visualizations, especially in the R language. In this paper, a k-means machine learning (ML) algorithm with an R language implementation is utilized for marketing segmentation in a specific case study of Black Friday for determining potential customer zones to make reasonable marketing strategies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available