INDICIa: a new distributed clustering protocol
Data(s) |
2013
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Resumo |
Many data streaming applications produces massive amounts of data that must be processed in a distributed fashion due to the resource limitation of a single machine. We propose a distributed data stream clustering protocol. Theoretical analysis shows preliminary results about the quality of discovered clustering. In addition, we present results about the ability to reduce the time complexity respect to the centralized approach. |
Formato |
application/pdf |
Identificador | |
Idioma(s) |
eng |
Publicador |
Facultad de Informática (UPM) |
Relação |
http://oa.upm.es/29637/1/29637callauINVE_MEM_2013_171216.pdf http://dl.acm.org/citation.cfm?id=2480362 |
Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
Fonte |
SAC'13: proceedings of the 28th Annual ACM Symposium on Applied Computing | 28th Annual ACM Symposium on Applied Computing | 18-22 Mar 2013 | Coimbra, Portugal |
Palavras-Chave | #Informática |
Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |