self-organizing maps
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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Combining the Classification of Sentiments from Opinions
Abstract: Our day-to-day life has been influenced by varied perceptions of people. Their ideas and opinions have affected our own opinions. People give their own views on the particular product or services according to their usage application. Updating of data is necessary with every passing day which results into difficulty of examining and understanding these large amounts of data. So, it becomes difficult to examine all the varied opinions and come …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 26–29 Read article