dc.contributor.author | Djenouri, Youcef | |
dc.contributor.author | Lin, Jerry Chun-Wei | |
dc.contributor.author | Nørvåg, Kjetil | |
dc.contributor.author | Ramampiaro, Heri | |
dc.date.accessioned | 2019-06-18T08:59:24Z | |
dc.date.available | 2019-06-18T08:59:24Z | |
dc.date.created | 2019-06-16T22:48:52Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | IEEE 35th International Conference on Data Engineering (ICDE). 2019, 35 | nb_NO |
dc.identifier.isbn | 978-1-5386-7474-1 | |
dc.identifier.uri | http://hdl.handle.net/11250/2601151 | |
dc.description.abstract | This paper introduces a highly efficient pattern mining technique called Clustering-Based Pattern Mining (CBPM). This technique discovers relevant patterns by studying the correlation between transactions in transaction databases using clustering techniques. The set of transactions are first clus-tered using the k-means algorithm, where highly correlated transactions are grouped together. Next, the relevant patterns are derived by applying a pattern mining algorithm to each cluster. We present two different pattern mining algorithms, one approximate and one exact. We demonstrate the efficiency and effectiveness of CBPM through a thorough experimental evaluation. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019 | |
dc.title | Highly Efficient Pattern Mining Based on Transaction Decomposition | nb_NO |
dc.type | Chapter | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 1646-1649 | nb_NO |
dc.identifier.doi | 10.1109/ICDE.2019.00163 | |
dc.identifier.cristin | 1705256 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |