大数据的价值发现方法

doi:10.11959/j.issn.2096-0271.2017015

Big Data Research ›› 2017, Vol. 3 ›› Issue (2): 19-25.doi: 10.11959/j.issn.2096-0271.2017015

• TOPIC:BIG DATA MANAGEMENT AND ANALYTICS • Previous Articles Next Articles

Approaches for value extraction on big data

Xiaoyong DU¹,Yueguo CHEN²

¹ MOE Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China)，Beijing 100872，China
² School of Information，Renmin University of China，Beijing 100872，China

Online:2017-03-20 Published:2017-03-24
Supported by:
The National Natural Science Foundation of China(No.61472426);The National High Technology Research and Development Program of China (863 Program)(No.2015AA015307)

Abstract

Abstract:

The value of big data can be presented in different means，and therefore it has different ways to extract the value out of big data.Three approaches of value extraction on big data:data service，data analytics，and data exploration were summarized.The characteristics of these approaches were analyzed and compared.In summary，data service reflects the value of data from the micro-level by supporting high-performance and high-throughput read and write operations.Data analysis focuses on the usage of statistical models to generalize data distribution at macro-level，and it extracts values by generating insights from data.Data exploration focuses on interactive models in the constant interchange of micro-level and macrolevel to guide the users browse and discover values out of the data.

Key words: big data, value extraction, data service, data analytics, data exploration

CLC Number:

TP391.1

Xiaoyong DU, Yueguo CHEN. Approaches for value extraction on big data[J]. Big Data Research, 2017, 3(2): 19-25.

比较项	数据服务	数据分析	数据探索
用户信息需求	单一、明确	多样、明确	多样、变化
搜索对象	点	面	点面结合
观察角度	微观	宏观	微观为主
用户目的	查阅资料	决策支持	学习、调研
交互模式	一轮	一轮或多轮	多轮

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Approaches for value extraction on big data

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