Mining the applications to study at Lithuania's institutions of higher education using association rules
The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data. An important problem is how to use this data effectively, e.g., how to extract some useful knowledge from it. Disco...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2004-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/31713 |
| _version_ | 1797194412959203328 |
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| author | Ieva Mitašiūnaitė Gediminas Adomavičius |
| author_facet | Ieva Mitašiūnaitė Gediminas Adomavičius |
| author_sort | Ieva Mitašiūnaitė |
| collection | DOAJ |
| description |
The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data. An important problem is how to use this data effectively, e.g., how to extract some useful knowledge from it. Discovered patterns and relationships can facilitate a better understanding of the applicants' preferences, popularity of various study programs, and, more generally, the overall application process. This paper uses the association rule mining technique and focuses on the relationships between the gender of the applicants and their preferred study programs. The data mining procedure, which can also be considered as a framework for similar data mining tasks, is presented through several illustrative examples.
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| first_indexed | 2024-03-07T15:40:50Z |
| format | Article |
| id | doaj.art-9da5bc58bae241e0bb410f9caa7f9662 |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-04-24T05:55:53Z |
| publishDate | 2004-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-9da5bc58bae241e0bb410f9caa7f96622024-04-23T09:02:51ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2004-12-0144spec.10.15388/LMR.2004.31713Mining the applications to study at Lithuania's institutions of higher education using association rulesIeva Mitašiūnaitė0Gediminas Adomavičius1Vilnius UniversityUniversity of Minnesota The secondary outcome of implementing the computerized application process for -studies at Lithuania's institutions of higher education is the availability of the collected data. An important problem is how to use this data effectively, e.g., how to extract some useful knowledge from it. Discovered patterns and relationships can facilitate a better understanding of the applicants' preferences, popularity of various study programs, and, more generally, the overall application process. This paper uses the association rule mining technique and focuses on the relationships between the gender of the applicants and their preferred study programs. The data mining procedure, which can also be considered as a framework for similar data mining tasks, is presented through several illustrative examples. https://www.journals.vu.lt/LMR/article/view/31713data miningassociation rules |
| spellingShingle | Ieva Mitašiūnaitė Gediminas Adomavičius Mining the applications to study at Lithuania's institutions of higher education using association rules Lietuvos Matematikos Rinkinys data mining association rules |
| title | Mining the applications to study at Lithuania's institutions of higher education using association rules |
| title_full | Mining the applications to study at Lithuania's institutions of higher education using association rules |
| title_fullStr | Mining the applications to study at Lithuania's institutions of higher education using association rules |
| title_full_unstemmed | Mining the applications to study at Lithuania's institutions of higher education using association rules |
| title_short | Mining the applications to study at Lithuania's institutions of higher education using association rules |
| title_sort | mining the applications to study at lithuania s institutions of higher education using association rules |
| topic | data mining association rules |
| url | https://www.journals.vu.lt/LMR/article/view/31713 |
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