INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS
Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments. The main focus is to better understand the educational related phenomena by extracting, through data mining techniques, meaningful hidd...
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| Format: | Article |
| Language: | English |
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Babes-Bolyai University, Cluj-Napoca
2018-12-01
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| Series: | Studia Universitatis Babes-Bolyai: Series Informatica |
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| Online Access: | http://193.231.18.162/index.php/subbinformatica/article/view/4160 |
| _version_ | 1797322263440130048 |
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| author | Liana Maria CRIVEI |
| author_facet | Liana Maria CRIVEI |
| author_sort | Liana Maria CRIVEI |
| collection | DOAJ |
| description |
Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments. The main focus is to better understand the educational related phenomena by extracting, through data mining techniques, meaningful hidden patterns from educational data sets. Incremental Relational Association Rule Mining (IRARM) has been introduced as an effective online data mining method for dynamically mining interesting relational association rules (RARs) in a dynamic data set which is extended with new data instances. The study conducted in this paper is aimed to emphasize the effectiveness of both RAR and IRARM mining methods in educational data mining settings. Experiments performed on various academic data sets highlight the potential of using relational association rules for uncovering relevant knowledge from educational related data.
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| first_indexed | 2024-03-08T05:10:44Z |
| format | Article |
| id | doaj.art-f60a632cdea74b3584675d6b59387b90 |
| institution | Directory Open Access Journal |
| issn | 2065-9601 |
| language | English |
| last_indexed | 2024-03-08T05:10:44Z |
| publishDate | 2018-12-01 |
| publisher | Babes-Bolyai University, Cluj-Napoca |
| record_format | Article |
| series | Studia Universitatis Babes-Bolyai: Series Informatica |
| spelling | doaj.art-f60a632cdea74b3584675d6b59387b902024-02-07T10:03:43ZengBabes-Bolyai University, Cluj-NapocaStudia Universitatis Babes-Bolyai: Series Informatica2065-96012018-12-0163210.24193/subbi.2018.2.07INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETSLiana Maria CRIVEI0Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania. Email: liana.crivei@cs.ubbcluj.ro Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments. The main focus is to better understand the educational related phenomena by extracting, through data mining techniques, meaningful hidden patterns from educational data sets. Incremental Relational Association Rule Mining (IRARM) has been introduced as an effective online data mining method for dynamically mining interesting relational association rules (RARs) in a dynamic data set which is extended with new data instances. The study conducted in this paper is aimed to emphasize the effectiveness of both RAR and IRARM mining methods in educational data mining settings. Experiments performed on various academic data sets highlight the potential of using relational association rules for uncovering relevant knowledge from educational related data. http://193.231.18.162/index.php/subbinformatica/article/view/4160Data mining, Educational data mining, Relational association rule, Incremental algorithm. |
| spellingShingle | Liana Maria CRIVEI INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS Studia Universitatis Babes-Bolyai: Series Informatica Data mining, Educational data mining, Relational association rule, Incremental algorithm. |
| title | INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS |
| title_full | INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS |
| title_fullStr | INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS |
| title_full_unstemmed | INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS |
| title_short | INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS |
| title_sort | incremental relational association rule mining of educational data sets |
| topic | Data mining, Educational data mining, Relational association rule, Incremental algorithm. |
| url | http://193.231.18.162/index.php/subbinformatica/article/view/4160 |
| work_keys_str_mv | AT lianamariacrivei incrementalrelationalassociationruleminingofeducationaldatasets |