{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:14:54Z","timestamp":1654107294616},"reference-count":9,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,1,1]]},"abstract":"<p>This paper discusses the implementation of C4.5 classification technique in a marketing function. It also serves as a method to determine the possible hit rate in tertiary institutions. The use of C4.5 algorithm as a classification technique made a big effect in identifying which records among the bulk of data should be grouped accordingly considering the criteria stipulated by the user. The Decision Tree (DT) generated by the method was parsed from the root to its corresponding sub tree and was used as an input to create the query statements. These query statements however were executed to automatically filter the historical data and come up with the list of potential institutions for enrollment. The tool enables the marketing department of every educational organization to find an effective and efficient way of identifying the potential market for recruitment. It aims to increase the number of enrollees and limit the utilization of other resources. The tool is beneficial to the Education Data Mining (EDM), an emerging technology at present time in terms of recruitment.<\/p>","DOI":"10.4018\/ijtem.2014010107","type":"journal-article","created":{"date-parts":[[2014,4,25]],"date-time":"2014-04-25T13:10:10Z","timestamp":1398431410000},"page":"86-94","source":"Crossref","is-referenced-by-count":0,"title":["iRecruit"],"prefix":"10.4018","volume":"4","author":[{"given":"Sheila A.","family":"Abaya","sequence":"first","affiliation":[{"name":"University of the East, Caloocan, Philippines"}]}],"member":"2432","reference":[{"key":"ijtem.2014010107-0","first-page":"2","article-title":"A classification model for predicting the suitable study track for school students.","volume":"8","author":"Q.Al-Radaideh","year":"2011","journal-title":"IJRRAS"},{"key":"ijtem.2014010107-1","first-page":"2","article-title":"Introduction to the special section on data mining.","volume":"13","author":"T.Calders","year":"2011","journal-title":"SIDKDD Explorations"},{"key":"ijtem.2014010107-2","author":"G.Dekker","year":"2009","journal-title":"Predicting students drop out: A case study"},{"key":"ijtem.2014010107-3","author":"D.Gosselin","year":"2011","journal-title":"PHP programming with MySQL"},{"key":"ijtem.2014010107-4","author":"J.Han","year":"2006","journal-title":"Data mining concepts and technique"},{"key":"ijtem.2014010107-5","author":"B. M.Hill","year":"2007","journal-title":"The official Ubuntu book"},{"key":"ijtem.2014010107-6","author":"P.Hudson","year":"2007","journal-title":"Ubuntu unleashed"},{"key":"ijtem.2014010107-7","first-page":"2526","article-title":"Human talent prediction in HRM using C4.5 classification algorithm.","volume":"2","author":"H.Jantan","year":"2010","journal-title":"International Journal on Computer Science and Engineering"},{"key":"ijtem.2014010107-8","first-page":"502","article-title":"Effective educational process: A data mining approach.","volume":"37","author":"J.Ranjan","year":"2007","journal-title":"The Journal of Information and Knowledge Management Systems"}],"container-title":["International Journal of Technology and Educational Marketing"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=106045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T17:38:13Z","timestamp":1654105093000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijtem.2014010107"}},"subtitle":["A Function for Recruitment using C4.5 Classification Technique"],"short-title":[],"issued":{"date-parts":[[2014,1,1]]},"references-count":9,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijtem.2014010107","relation":{},"ISSN":["2155-5605","2155-5613"],"issn-type":[{"value":"2155-5605","type":"print"},{"value":"2155-5613","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1,1]]}}}