TY - JOUR
T1 - Spatial data mining
T2 - A perspective of big data
AU - Wang, Shuliang
AU - Yuan, Hanning
N1 - Publisher Copyright:
© 2014, IGI Global.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - Big data brings the opportunities and challenges into spatial data mining. In this paper, spatial big data mining is presented under the characteristics of geomatics and big data. First, spatial big data attracts much attention from the academic community, business industry, and administrative governments, for it is playing a primary role in addressing social, economic, and environmental issues of pressing importance. Second, humanity is submerged by spatial big data, such as much garbage, heavy pollution and its difficulties in utilization. Third, the value in spatial big data is dissected. As one of the fundamental resources, it may help people to recognize the world with population instead of sample, along with the potential effectiveness. Finally, knowledge discovery from spatial big data refers to the basic technologies to realize the value of big data, and relocate data assets. And the uncovered knowledge may be further transformed into data intelligences.
AB - Big data brings the opportunities and challenges into spatial data mining. In this paper, spatial big data mining is presented under the characteristics of geomatics and big data. First, spatial big data attracts much attention from the academic community, business industry, and administrative governments, for it is playing a primary role in addressing social, economic, and environmental issues of pressing importance. Second, humanity is submerged by spatial big data, such as much garbage, heavy pollution and its difficulties in utilization. Third, the value in spatial big data is dissected. As one of the fundamental resources, it may help people to recognize the world with population instead of sample, along with the potential effectiveness. Finally, knowledge discovery from spatial big data refers to the basic technologies to realize the value of big data, and relocate data assets. And the uncovered knowledge may be further transformed into data intelligences.
KW - Big data
KW - Data intelligence
KW - Geomatics
KW - Spatial big data mining
UR - http://www.scopus.com/inward/record.url?scp=84919429924&partnerID=8YFLogxK
U2 - 10.4018/ijdwm.2014100103
DO - 10.4018/ijdwm.2014100103
M3 - Article
AN - SCOPUS:84919429924
SN - 1548-3924
VL - 10
SP - 50
EP - 70
JO - International Journal of Data Warehousing and Mining
JF - International Journal of Data Warehousing and Mining
IS - 4
ER -