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Methods for frequent pattern mining in data streams within the MOA system
dc.contributor | Gavaldà Mestre, Ricard |
dc.contributor.author | Quadrana, Massimo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-07-11T13:54:34Z |
dc.date.available | 2012-07-11T13:54:34Z |
dc.date.issued | 2012-06-27 |
dc.identifier.uri | http://hdl.handle.net/2099.1/15671 |
dc.description.abstract | IncMine is a robust, efficient, practical, usable and extendable solution to perform Frequent Itemset mining over data streams. It is implementend under the Massive Online Analysis framework. It includes an analysis over its performances and its reaction to synthetic and real concept drift. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Data mining |
dc.subject.lcsh | Algorithms |
dc.subject.other | incmine |
dc.subject.other | frequent itemset |
dc.subject.other | data stream |
dc.subject.other | moa |
dc.subject.other | concept drift |
dc.title | Methods for frequent pattern mining in data streams within the MOA system |
dc.type | Master thesis (pre-Bologna period) |
dc.subject.lemac | Mineria de dades |
dc.subject.lemac | Algorismes |
dc.identifier.slug | 82715 |
dc.rights.access | Open Access |
dc.date.updated | 2012-06-28T08:36:59Z |
dc.audience.educationlevel | Estudis de primer/segon cicle |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | ENGINYERIA INFORMÀTICA (Pla 2003) |