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Mining educational data for patterns with negations and high confidence boost
dc.contributor.author | Balcázar Navarro, José Luis |
dc.contributor.author | Tirnauca, Cristina |
dc.contributor.author | Zorrilla Pantaleón, Marta Elena |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-11-15T12:40:19Z |
dc.date.created | 2010 |
dc.date.issued | 2010 |
dc.identifier.citation | Balcazar, J.; Tirnauca, Cristina; Zorrilla, Marta E. Mining educational data for patterns with negations and high confidence boost. A: Simposio de Teoría y Aplicaciones de Minería de Datos. "Actas de V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010)". 2010, p. 329-338. |
dc.identifier.isbn | 9788492812608 |
dc.identifier.uri | http://hdl.handle.net/2117/16933 |
dc.description.abstract | Association rules constitute a well-known and widely employed data mining technique. We study their applicability in Educational Data Mining. We develop a case study of datasets from that eld: logs of an e-learning platform. We demonstrate that it is convenient to analyze such datasets in terms of association rules that relate not only presence of items in each of the transactions, but also their absence. To cope with the algorithmic di culties and the large output, we apply a new heuristic regarding the support of negative attributes, complementing two previously studied contributions: a basis for closure-oriented notions of redundancy and a notion of novelty called the con dence boost. Our ndings have been validated through interactions with end-user experts, namely, the instructors in whose virtual learning courses the datasets had their origin. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject.lcsh | Data mining |
dc.title | Mining educational data for patterns with negations and high confidence boost |
dc.type | Conference report |
dc.subject.lemac | Mineria de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge |
dc.relation.publisherversion | http://cataleg.upc.edu/record=b1377559~S1*cat |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 9402620 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Balcazar, J.; Tirnauca, Cristina; Zorrilla, Marta E. |
local.citation.contributor | Simposio de Teoría y Aplicaciones de Minería de Datos |
local.citation.publicationName | Actas de V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010) |
local.citation.startingPage | 329 |
local.citation.endingPage | 338 |