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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Employee attrition and absenteeism analysis using machine learning methods: Application in the manufacturing industry Description An account of the resource HR analytics has been envisaged as recent research trend for providing a comprehensive decision support system to the top level management in terms of employee's performance, recruitment and behaviour analysis. Globally, organizations are using technology to support and ease HR processes. Every organization should give maximum value to every available human resource, and they should minimize the attrition and absenteeism rate and ensure what are the factors that contribute towards employee attrition as well as the causes for workmen absenteeism. The ultimate objective is to correctly identify attrition and absenteeism in order to assist the company to improve retention tactics for key personnel and increase employee satisfaction. Through this chapter, a machine learning-based model is proposed to get quick results for such employee attrition and workmen absenteeism. The model is trained and tested for its accuracy. The result shows that the proposed model has high sensitivity. The managerial implications are also discussed for taking informed decisions. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Mansurali A.; Rajagopal M.; Subbaiah R. Source A related resource from which the described resource is derived HR Analytics in an Era of Rapid Automation, pp. 155-167. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-8942-0.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8942-0.ch011</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169524190&amp;doi=10.4018%2F978-1-6684-8942-0.ch011&amp;partnerID=40&amp;md5=46c92c2a05c0cb45f6ec022994d8c500" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169524190&amp;doi=10.4018%2f978-1-6684-8942-0.ch011&amp;partnerID=40&amp;md5=46c92c2a05c0cb45f6ec022994d8c500</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848944-4; 978-166848942-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mansurali A., Central University of Tamil Nadu, India; Rajagopal M., CHRIST University (Deemed), India; Subbaiah R., Jazan University, India