{"id":9544,"date":"2021-07-02T12:01:19","date_gmt":"2021-07-02T12:01:19","guid":{"rendered":"https:\/\/papersspot.com\/blog\/2021\/07\/02\/please-read-the-paper-prepaid-telecom-customers-segmentation-using-the-k-mean-algorithm-for-preparing\/"},"modified":"2021-07-02T12:01:19","modified_gmt":"2021-07-02T12:01:19","slug":"please-read-the-paper-prepaid-telecom-customers-segmentation-using-the-k-mean-algorithm-for-preparing","status":"publish","type":"post","link":"https:\/\/papersspot.com\/blog\/2021\/07\/02\/please-read-the-paper-prepaid-telecom-customers-segmentation-using-the-k-mean-algorithm-for-preparing\/","title":{"rendered":"Please read the paper &#8220;PREPAID TELECOM CUSTOMERS SEGMENTATION USING THE K-MEAN ALGORITHM&#8221; for preparing"},"content":{"rendered":"<p>Please read the paper &#8220;PREPAID TELECOM CUSTOMERS SEGMENTATION USING THE K-MEAN ALGORITHM&#8221; for preparing this assignment. You may also use other internet sources for enriching the content. Please note that you do not need to know K-means algorithm to solve this assignment. <br \/> Your submission MUST comprise the following sections. The requirements for each section are mentioned within parenthesis.\u00a0 <br \/> Section1 (2 marks): Role of clustering in business (Highlight how clustering may play a significant role in business &#8211; a general overview with examples from at least two business domains other than TELECOM) <br \/> Section2 (1 mark): Applicability of clustering to TELECOM sector (How clustering problem may be applicable to TELECOM sector &#8211; a general discussion not necessarily in the context of the paper)\u00a0 <br \/> Section 3 (5 marks): Consumption-based segmentation of Pre-paid TELECOM Customers (Discuss the study carried out in section 3 of the given paper and briefly summarize the characteristics of each of the 7 clusters. Also use charts to visualize the facts about each cluster and their mutual comparisons based on the numbers\/facts provided about each cluster in the paper.\u00a0 <br \/> Section4 (3 marks): Recommendations (as a marketing manager to enhance company&#8217;s profitability based on the facts provided by the seven clusters of the prepaid customers).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Please read the paper &#8220;PREPAID TELECOM CUSTOMERS SEGMENTATION USING THE K-MEAN ALGORITHM&#8221; for preparing this assignment. You may also use other internet sources for enriching the content. Please note that you do not need to know K-means algorithm to solve this assignment. Your submission MUST comprise the following sections. The requirements for each section are [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10],"class_list":["post-9544","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-writing"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/9544","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=9544"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/9544\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=9544"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=9544"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=9544"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}