The Paradoxes of Big Data
The era of Big Data poses a big challenge to our way of living and thinking.Big Data refers to things which can do at a large scale but cannot be done at a smaller size.There are many paradoxes of Big Data: In this new world far more data can be analyzed,though using all the data can make the datum messy and lose some accuracy,sometimes reach better conclusions.As massive quantities of information produced by and about people and their interactions exposed on the Internet,will large scale search and analyze data help people create better services,goods and tools or it just lead to privacy incursions and invasive marketing? In this article,we offer three main provocations,based on our analysis we have constructed some models to help explain the amazing contradiction in Big Data.
Big Data Paradoxes Scale Messy Accuracy Prediction Privacy incursions
XinxingLiu Xing Wu Shuji Dai
School of Computer Engineering and Science, Shanghai University, Shanghai, China
国际会议
重庆
英文
603-606
2015-03-21（万方平台首次上网日期，不代表论文的发表时间）