大數(shù)據(jù)背景下數(shù)據(jù)挖掘技術(shù)的應(yīng)用研究

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摘要：由于數(shù)據(jù)的格式、信息等十分復(fù)雜，不利于分析和決策，因此如何在海量數(shù)據(jù)的背景下挖掘出更為有效的信息，以幫助決策者分析和應(yīng)用數(shù)據(jù)，成為亟待解決的問(wèn)題?；诖?，數(shù)據(jù)挖掘技術(shù)應(yīng)運(yùn)而生，其主要應(yīng)用于數(shù)據(jù)集。文章主要研究了如何從海量數(shù)據(jù)集中挖掘出有價(jià)值、有規(guī)律的信息。

關(guān)鍵詞：數(shù)據(jù)挖掘;系統(tǒng)開發(fā);存儲(chǔ)

中圖法分類號(hào)：TP311文獻(xiàn)標(biāo)識(shí)碼：A

Research on application of data mining technology underbackground of big data

WANG Henan， YUE Huiping，XIA Shujian

（Liaoning University of Traditional Chinese Mledicine，Shenyang 110000，China）

Abstract：Since the format and information of data are very complex， which is not conducive to analysis and decision-making， how to mine more effective information in the context of massive data to help decision-makers analyze and apply data has become an urgent problem to be solved. Based on this， data mining technology emerges as the times require. It is mainly used in data sets. How to mine valuable and regular information from massive data sets is the main content of data mining research.

Key words： data mining， system development，storage

1引言

各行業(yè)都會(huì)產(chǎn)生海量的數(shù)據(jù)，這是由于信息技術(shù)（云計(jì)算技術(shù)、移動(dòng)計(jì)算技術(shù)、機(jī)器學(xué)習(xí)技術(shù)等）的不斷進(jìn)步，以及硬件存儲(chǔ)能力、云平臺(tái)存儲(chǔ)能力的不斷提升所致。（剩余4214字）