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<timestamp>20240521031110946</timestamp>
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  <depositor_name>beie:beie</depositor_name> 
  <email_address>director@blueeyesintelligence.org</email_address>
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<journal_metadata>   <full_title>International Journal of Recent Technology and Engineering (IJRTE)</full_title>   <abbrev_title>IJRTE</abbrev_title>   <issn media_type='electronic'>22773878</issn>   <doi_data>     <doi>10.35940/ijrte.2277-3878</doi>     <resource>https://www.ijrte.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2024</year>   </publication_date>   <journal_volume>     <volume>13</volume>   </journal_volume>   <issue>1</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>A Review on Classification Algorithm for Customer Churn Classification</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department of Informatic &amp; Computing, University Sultan Zainal Abidin, Terengganu, Malaysia.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Nurul Nadzirah Bt</given_name>      <surname>Adnan</surname>      <ORCID>https://orcid.org/0009-0003-6225-708X</ORCID>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Mohd Khalid Bin</given_name>       <surname>Awang</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department of Informatic &amp; Computing University Sultan Zainal Abidin, Terengganu, Malaysia.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>Any sector faces a huge obstacle when it comes to retaining existing customers. The percentage of consumers who have quit using a product or service is referred to as customer churn, and it is a vital indication that offers reliable information about this percentage. When it comes to achieving long-term success in a market or industry, one of the most significant challenges that any company must face is the ability to keep their precious clients and to fulfill their needs. A review of the most significant studies on Customer Churn Prediction is presented in this paper so as to furnish the reader with an overview of frequently employed data mining methodologies and their respective performances. We provide the available statistics in addition to customer information in order to approximate customer attrition. The time period encompassing the survey extends from 2003 to 2023. During the process of Customer Churn Prediction, we identified the issues and difficulties that were linked with it and offered guidance and potential remedies.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>05</month>     <day>30</day>     <year>2024</year>   </publication_date>   <pages>     <first_page>5</first_page>     <last_page>15</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijrte.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>     <custom_metadata>       <assertion explanation='Journal Name' group_label='Journal Name' group_name='Journal' name='Declaration' order='0'>International Journal of Recent Technology and Engineering (IJRTE)</assertion>       <assertion explanation='Funding' group_label='Funding' group_name='Funding' name='Declaration' order='1'>Yes, This work is supported by Fundamental Research Grant Funding Scheme (FRGS/1/2023/ICT02/UNISZA/02/1) under the Ministry of Higher Education (MOHE) and University Sultan Zainal Abidin (UniSZA), Malaysia.</assertion>       <assertion explanation='Conflicts of Interest' group_label='Conflicts of Interest' group_name='Conflicts-of-Interest' name='Declaration' order='2'>No conflicts of interest to the best of our knowledge.</assertion>       <assertion explanation='Ethical Approval and Consent to Participate' group_label='Ethical Approval and Consent to Participate' group_name='Ethical-Approval-and-Consent-to-Participate' name='Declaration' order='3'>No, the article does not require ethical approval and consent to participate with evidence.</assertion>       <assertion explanation='Availability of Data and Material' group_label='Availability of Data and Material' group_name='Availability-of-Data-and-Material' name='Declaration' order='4'>Not relevant.</assertion>       <assertion explanation='Authors Contributions' group_label='Authors Contributions' group_name='Authors-Contributions' name='Declaration' order='5'>All authors have equal participation in this article.</assertion>     </custom_metadata>   </crossmark>   <doi_data>     <doi>10.35940/ijrte.A8030.13010524</doi>     <resource>https://www.ijrte.org/portfolio-item/A803013010524/</resource>   </doi_data> </journal_article>
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