Title :
How we could realize big data value
Author :
Ning Yu Xin ; Li Yue Ling
Author_Institution :
Econ. & Manage. Sch., Xi´an Petrol Univ., Xi´an, China
Abstract :
This paper explores the challenges and opportunities of big data. In the big data age, data value not only limits quantization analysis, but also need to dig multidimensional attributes. Data mining should transform from goal-oriented to big data-driving model. By establishing self-organizing learning model, data resources would deeply influence mankind´s thinking model and innovation mechanism. Therefore each field including governments, educational institutions and enterprises should make preparation to realize big data value and gain competiton advantages.
Keywords :
Big Data; data mining; learning systems; big data value; big data-driving model; data mining; goal-oriented model; multidimensional attribute; quantization analysis; self-organizing learning model; Analytical models; Data handling; Data mining; Data models; Data storage systems; Government; Information management; big data value; challenges and opportunities; competition advantages; data-driving model;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743306