American Journal of Mobile Systems, Applications and Services
Articles Information
American Journal of Mobile Systems, Applications and Services, Vol.1, No.2, Oct. 2015, Pub. Date: Sep. 2, 2015
What is Data Mining Methods with Different Group of Clustering and Classification
Pages: 140-151 Views: 5984 Downloads: 1256
Authors
[01] Ferero Dermino, School of Computer Science, Universidad de Cundinamarca, Facatativá, Cundinamarca, Colombia.
[02] Klawi Fortingo, School of Computer Science, Universidad de Cundinamarca, Facatativá, Cundinamarca, Colombia.
Abstract
Knowledge discovery "On the Grid" generally refers to conducting knowledge discovery in an open environment using grid computing concepts, allowing users to integrate data from various online data sources, as well make use of remote resources, for executing their data mining tasks. The clustering model most closely related to statistics is based on distribution models. Clusters can then easily be defined as objects belonging most likely to the same distribution. A convenient property of this approach is that this closely resembles the way artificial data sets are generated: by sampling random objects from a distribution. Here we proposed a distributed clustering to bag data clustering.
Keywords
Clustering, Data Mining, Data Processing, Classification, Grouping
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