情报杂志2017，Vol.36Issue(4)：93-97,5.DOI:10.3969/j.issn.1002-1965.2017.04.016
大数据分析中的误区——基于纽约市的成功实践的案例分析
Misunderstanding in Big Data Analysis—A Case Study Based on New York's Successful Practice
摘要
Abstract
[Purpose/Significance]There are some popular arguments that may be misleading in China's research on big data analysis such as: the data themselves can tell the story;using all the data available, not just sample sets;having relevance, not causation.[Methods/Process]This paper analyzes the successful practice of the New York City's "Mayor's Office of Data Analysis" which uses big data analysis to help improve the performance of the government agencies of the city and tests the above arguments.[Results/Conclusion]The conclusions are that the big data analysis does not mean that the data can speak for themselves, data cannot speak by themselves;big data analysis first requires analysts to determine the direction and goals of the analysis, then to determine the objects of analysis according to the direction and goals and to carry out the targeted data collection and analysis;as data scale is concerned, enough is enough, it is not necessary "to have all data";it is necessary to understand the background of the data before data analysis, data without its background is of no value;more factors other than data should be considered in big data analysis, including political factors.关键词
大数据分析/数据的背景/纽约市/案例研究Key words
big data analysis/background of the data/New York City/case study分类
社会科学引用本文复制引用
曾忠禄..大数据分析中的误区——基于纽约市的成功实践的案例分析[J].情报杂志,2017,36(4):93-97,5.
