TY - GEN
T1 - Spatiotemporal data mining in the era of big spatial data
T2 - 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2012
AU - Vatsavai, Ranga Raju
AU - Chandola, Varun
AU - Klasky, Scott
AU - Ganguly, Auroop
AU - Stefanidis, Anthony
AU - Shekhar, Shashi
PY - 2012
Y1 - 2012
N2 - Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from the spatial and spatiotemporal data. However, explosive growth in the spatial and spatiotemporal data, and the emergence of social media and location sensing technologies emphasize the need for developing new and computationally efficient methods tailored for analyzing big data. In this paper, we review major spatial data mining algorithms by closely looking at the computational and I/O requirements and allude to few applications dealing with big spatial data.
AB - Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from the spatial and spatiotemporal data. However, explosive growth in the spatial and spatiotemporal data, and the emergence of social media and location sensing technologies emphasize the need for developing new and computationally efficient methods tailored for analyzing big data. In this paper, we review major spatial data mining algorithms by closely looking at the computational and I/O requirements and allude to few applications dealing with big spatial data.
KW - Big data
KW - Computational and I/O challenges
KW - Large scale data mining
KW - Spatiotemporal patterns
UR - http://www.scopus.com/inward/record.url?scp=84876770463&partnerID=8YFLogxK
U2 - 10.1145/2447481.2447482
DO - 10.1145/2447481.2447482
M3 - Conference contribution
AN - SCOPUS:84876770463
SN - 9781450316927
T3 - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2012
SP - 1
EP - 10
BT - Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2012
Y2 - 6 November 2012 through 6 November 2012
ER -