Integration of JAM and JADE Architecture in Distributed Data Mining System

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Provided by: International Journal of Engineering Research and Applications (IJERA)
Topic: Data Management
Format: PDF
Data mining systems is used to discover patterns and extract useful information from facts recorded in databases. Knowledge can be acquired from database by using machine learning algorithm which computes descriptive representations of the data as well as patterns that may be exhibited in the data. Most of the current generation of learning algorithms, however, are computationally complex and require all data to be resident in main memory which is clearly untenable for many realistic problems and databases. This paper is on the management of machine learning programs with the capacity to travel between computer sites to mine the local data.
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