Original scientific paper
https://doi.org/10.20532/cit.2018.1003863
Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business
Deepali Kamthania
; School of Information Technology, VIPS, GGSIP University, Delhi, India
Ashish Pawa
; School of Information Technology, VIPS, GGSIP University, Delhi, India
Srijit S. Madhavan
; School of Information Technology, VIPS, GGSIP University, Delhi, India
Abstract
Today all business organizations are adopting data driven strategies to generate more revenue out of their business. Growing startups are investing a lot of money in data economy to maximize profits of business organizations by developing intelligent tools backed by machine learning and artificial intelligence. The nature of BI tool depends on factor like business goals, size, model, technology etc. In this paper architecture of business intelligence tool and decision process has been discussed with a focus on market segmentation, based on user behavior analysis using k-mode clustering algorithm and user geographical distributions. The proposed toolkit also incorporates interactive visualizations and maps.
Keywords
clustering; market segmentation; data visualization; principal component analysis (PCA); k-mode
Hrčak ID:
203983
URI
Publication date:
6.7.2018.
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