| dc.contributor.author | Cavique, Luís | |
| dc.date.accessioned | 2015-04-30T12:48:38Z | |
| dc.date.available | 2015-04-30T12:48:38Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Sequence mining combines the discovery of frequent itemsets and the order they appear in. Most of the sequence pattern discovery techniques present some handicaps like the generation of a huge number of rules and the lack of scalability. In this work the proposed algorithm concerns the analysis of the whole rather than the parts, thus providing a holistic view of the sequences. The algorithm analyzes event logs and allows a non-expert user to understand the sequences using a poly-tree visualization. The scalability associated with condensed data structures, which shrink the data without losing information, allows dealing with the Big Data challenge. Ramex was implemented in different scenarios. | por |
| dc.identifier.doi | 10.1007/978-3-319-16528-8_14 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/3906 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Springer | por |
| dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-319-16528-8_14#page-1 | por |
| dc.subject | Pervasive business intelligence | por |
| dc.subject | Sequence mining | por |
| dc.subject | Poly-trees | por |
| dc.title | Ramex : a sequence mining algorithm using poly-trees | por |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 154 | por |
| oaire.citation.startPage | 143 | por |
| oaire.citation.title | New contributions in information systems and technologies | por |
| oaire.citation.volume | 2 | por |
| person.familyName | Cavique | |
| person.givenName | Luís | |
| person.identifier.ciencia-id | 911E-84AC-3956 | |
| person.identifier.orcid | 0000-0002-5590-1493 | |
| rcaap.rights | openAccess | por |
| rcaap.type | bookPart | por |
| relation.isAuthorOfPublication | 40906a16-46a2-42f1-b26d-7db7012294ee | |
| relation.isAuthorOfPublication.latestForDiscovery | 40906a16-46a2-42f1-b26d-7db7012294ee |
