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Date : 1997-11-30
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Mining Very Large Databases with Parallel Processing ~ Mining Very Large Databases with Parallel Processing addresses the problem of largescale data mining It is an interdisciplinary text describing advances in the integration of three computer science areas namely intelligent machine learningbased data mining techniques relational databases and parallel processing
Mining Very Large Databases with Parallel Processing ~ Mining Very Large Databases with Parallel Processing addresses the problem of largescale data mining It is an interdisciplinary text describing advances in the integration of three computer science areas namely intelligent machine learningbased data mining techniques relational databases and parallel processing
Mining a large database with a parallel database server ~ Data mining is a dataintensive computation activity Parallel processing has often been used in data mining algorithms However when data do not fit in memory some solutions do not apply and a database system may be required rather than flat files Most of the implementations use the database system loosely coupled with the data mining
Mining Very Large Databases with Parallel Processing ~ Mining Very Large Databases with Parallel Processing addresses the problem of largescale data mining It is an interdisciplinary text describing advances in the integration of three computer science areas namely intelligent machine learningbased data mining techniques relational databases and parallel processing
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Mining a large database with a parallel database server ~ Parallel processing Data mining techniques have increasingly been studied especially their application in realworld databases One typical problem is that databases tend to be very large and these techniques often repeatedly scan the entire set
Mining Very Large Databases with Parallel Processing ~ The Night Fire Michael Connelly 918 € 1080 €
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