Decomposable Naive Bayes Classifier for Partitioned Data

Faculty Science Year: 2012
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Mohamed Khedr Souliman
Journal: Computing and Informatics Computing and Informatics Volume:
Keywords : Decomposable Naive Bayes Classifier for Partitioned Data    
Abstract:
Most learning algorithms are designed to work on a single dataset. However, with the growth of networks, data is increasingly distributed over many databases in many di erent geographical sites. These databases cannot be moved to other n
    
     
 
       

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