文章基本信息

标题：Data Flow of Motivated Data Using Heterogeneous Method for Complexity Reduction
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作者：S.Banupriya ; V.Vijayadeepa
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309110
出版社：S&S Publications
摘要：Big Data is huge data sets with sizes above the ability of commonly used software tools tomanage, and process the data within a tolerable minimum time. The era of Big Data has arrivedastonishingly in the past few years. Numerous data are produced in the form of documents, chattingmessages, audio, video, and applications and they are spread in the web. This paper presents a HACEtheorem that characterizes the features of the Big Data revolution, and proposes a Big Data processingmodel, from the data mining perspective. This data-driven model involves demand-driven aggregation ofinformation sources, mining and analysis, user interest modeling, and security and privacy considerations.We analyze the challenging issues in the data-driven model and also in the Big Data revolution
关键词：Big data; HACE theorem; data revolution; data driven model