5Chen, C. L. P.,Zhang, C. Data - intensive Applica-tions ,Challenges, Techniques And Technologies : ASurvey On Big Data. Information Sciences, 2014, 275(11). pp314-347.
6ExecutiveOffice of the President. Big Data Across theFederal Government, https://www. whitehouse. gov/sites/default/files/microsites/ostp/big . data . fact -sheet.final.l. pdf. 2012 -03 -29 .
7The Mckinsey Global Institute . Big Data : The NextFrontier For Innovation, Competition, And Productivi-ty. http ://www. mckinsey. com/insights/business .technology/big . data . the . next . frontier 一 for .innovation, 2011.
8Gandomi, A.,Haider, M. Beyond The Hype: BigData Concepts, Methods, And Analytics. InternationalJournal of Information Management, 2015 , 35 (2).ppl37 -144.
9IBM Center for The Business of Government. Realizingthe Promise of Big Data : Implementing Big Data Pro-jects. http://www. businessofgovemment. org/sites/default/files/Realizing% 20the% 20Promise% 20of%2013ig%20Data.0. pdf,2015 -03 -24.
10U. S. Office of Management and Budget. Open DataPolicy - - Managing Information as an Asset, ht-tps://www. whitehouse. gov/sites/default/files/omb/memorandal2013/m - 13 -13. pdf. 2013 - 5- 9.
