期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：4
页码：5594
DOI：10.15680/IJIRSET.2016.0504198
出版社：S&S Publications
摘要：Big Data concerns large-volume, complex, growing data sets with multiple, autonomous sources. Withthe fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expandingin all science and engineering domains, including physical, biological and bio-medical sciences. This article presents aHACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model,from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources,mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issuesin the data-driven model and also in the Big Data revolution.
关键词：Information management; Data handling; Data storage systems; Data privacy; Data models; Distributed;databases;complex and evolving associations; Big Data; data mining; heterogeneity; autonomous sources
