Decomposable Naive Bayes Classifier
for Partitioned Data

Faculty	Science	Year:	2012
Type of Publication:	ZU Hosted	Pages:
Authors:	Ahmed Mohamed Khedr Souliman Staff Zu Site Abstract In Staff Site
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 dierent geographical sites. These databases cannot be moved to other n

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