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Izvorni znanstveni članak
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

Puni tekst: engleski, pdf (1 MB) str. 57-68 preuzimanja: 1.994* citiraj
APA 6th Edition
Kamthania, D., Pawa, A. i Madhavan, S.S. (2018). Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business. Journal of computing and information technology, 26 (1), 57-68. https://doi.org/10.20532/cit.2018.1003863
MLA 8th Edition
Kamthania, Deepali, et al. "Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business." Journal of computing and information technology, vol. 26, br. 1, 2018, str. 57-68. https://doi.org/10.20532/cit.2018.1003863. Citirano 01.03.2021.
Chicago 17th Edition
Kamthania, Deepali, Ashish Pawa i Srijit S. Madhavan. "Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business." Journal of computing and information technology 26, br. 1 (2018): 57-68. https://doi.org/10.20532/cit.2018.1003863
Harvard
Kamthania, D., Pawa, A., i Madhavan, S.S. (2018). 'Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business', Journal of computing and information technology, 26(1), str. 57-68. https://doi.org/10.20532/cit.2018.1003863
Vancouver
Kamthania D, Pawa A, Madhavan SS. Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business. Journal of computing and information technology [Internet]. 2018 [pristupljeno 01.03.2021.];26(1):57-68. https://doi.org/10.20532/cit.2018.1003863
IEEE
D. Kamthania, A. Pawa i S.S. Madhavan, "Market Segmentation Analysis and Visualization Using K-Mode Clustering Algorithm for E-Commerce Business", Journal of computing and information technology, vol.26, br. 1, str. 57-68, 2018. [Online]. https://doi.org/10.20532/cit.2018.1003863

Sažetak
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.

Ključne riječi
clustering; market segmentation; data visualization; principal component analysis (PCA); k-mode

Hrčak ID: 203983

URI
https://hrcak.srce.hr/203983

Posjeta: 2.541 *