Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Customer Segmentation in the Field of Marketing Subject The topic of the resource Agglomerative algorithm; Business; Characteristics; Customer Segmentation; DBSCAN algorithm; k-Means algorithm; Machine Learning Models; Neural Networks Description An account of the resource The motive of this work is to classify and categorize customers depending on their familiar traits/characteristics so as to enable a company or a firm to adequately market their products to each category more attractively and competently. It is imperative for a firm to educate themselves with each and every detail about the customer, such as age group, sexuality, social class, purchase pattern etc as it paves way for customer segmentation. Businesses may utilize segmentation to make better use of their marketing resources, get a competitive advantage over competitors, and, most importantly, display a deeper understanding of their consumers' requirements and desires. Customer segmentation, when combined with customer targeting and positioning, creates the foundation for strategic marketing. A manager can find new marketing possibilities and create or adjust the product to satisfy the demands of potential clients using the notion of strategic marketing. The product's quality level determines its position in the market's overall offering. It's a crucial aspect in selecting which market segment a collection will target. The commercial world has gotten more competitive over time, as enterprises like these have to fulfil their consumers' demands and aspirations, attract new customers, and enhance their bottom lines. In this research, I have put the spotlight on the information used by firms for the purpose of customer segmentation in the most valuable manner. In addition to that, I have portrayed different models of customer segmentation and the benefits reaped by a business in implementing them. 2022 IEEE. Creator An entity primarily responsible for making the resource Thomas J.; Preethi N. Source A related resource from which the described resource is derived 4th International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2021 - Proceedings, pp. 401-405. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRTCST54752.2022.9781964" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRTCST54752.2022.9781964</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132562391&amp;doi=10.1109%2FICRTCST54752.2022.9781964&amp;partnerID=40&amp;md5=fb13f89b27bc537b0903532ddc425a4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132562391&amp;doi=10.1109%2fICRTCST54752.2022.9781964&amp;partnerID=40&amp;md5=fb13f89b27bc537b0903532ddc425a4c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166546633-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas J., Christ University, Department Of Data Science, India; Preethi N., Christ University, Department Of Data Science, India