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The Study Of Data Stream Mining Algorithm And Its Application

Posted on:2013-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y J GuanFull Text:PDF
GTID:2248330371491107Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the deepening of data mining research and the demand for datastream applications, data stream mining technology is becoming a hotresearch and gets more and more the attention of scholars in the computersector. Therefore, this paper carries out the data stream mining methodand its Applied Research which has important theoretical value and broadapplication prospects. This paper conducts the data stream mining methodwhich uses iterated function to compute frequent itemsets;by the study ofgraph theory based on the items of data flow;and studies of applying datamining techniques to solve practical problems. Simulation results indicatethat the algorithm only needs to scan the data stream once, lowcomplexity of the algorithm; Data mining applied to health informationmanagement.
Keywords/Search Tags:Data mining, data stream, iterated function, frequentitemsets, parallel, informatization
PDF Full Text Request
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