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Spatial Data Mining: A Perspective of Big Data

Spatial Data Mining: A Perspective of Big Data

Shuliang Wang, Hanning Yuan
Copyright: © 2014 |Volume: 10 |Issue: 4 |Pages: 21
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781466653788|DOI: 10.4018/ijdwm.2014100103
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MLA

Wang, Shuliang, and Hanning Yuan. "Spatial Data Mining: A Perspective of Big Data." IJDWM vol.10, no.4 2014: pp.50-70. http://doi.org/10.4018/ijdwm.2014100103

APA

Wang, S. & Yuan, H. (2014). Spatial Data Mining: A Perspective of Big Data. International Journal of Data Warehousing and Mining (IJDWM), 10(4), 50-70. http://doi.org/10.4018/ijdwm.2014100103

Chicago

Wang, Shuliang, and Hanning Yuan. "Spatial Data Mining: A Perspective of Big Data," International Journal of Data Warehousing and Mining (IJDWM) 10, no.4: 50-70. http://doi.org/10.4018/ijdwm.2014100103

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Abstract

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.

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