Title :
Big spatial data mining
Author :
Wang Shuliang ; Ding Gangyi ; Zhong Ming
Author_Institution :
Sch. of Software, Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, spatial data mining is discussed in the context of big data. Firstly, we elaborate the fact that spatial data plays a primary role in big data, attracting academic community, business industry and governments. Secondly, the adverse of spatial data mining is discussed, such as much garbage, heavy pollution and its difficulties in utilization. Finally, we dissect the value in spatial big data, expound the techniques to discover knowledge from spatial big data, and investigate the transformation from knowledge into data intelligences.
Keywords :
Big Data; data mining; Big spatial data mining; data intelligence; knowledge discovery; Data handling; Data storage systems; Earth; Information management; Satellites; Software; Spatial databases; Big data; Data intelligence; Spatial data mining;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691764
