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  1. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial '12)
  2. Spatiotemporal data mining in the era of big spatial data: algorithms and applications
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Spatiotemporal data mining in the era of big spatial data: algorithms and applications
EarthDB: scalable analysis of MODIS data using SciDB
Big 3D spatial data processing using cloud computing environment
Speeding up large-scale point-in-polygon test based spatial join on GPUs
Elastic and effective spatio-temporal query processing scheme on Hadoop
Accelerating satellite image based large-scale settlement detection with GPU
Computing the drainage network on huge grid terrains
Sort-based parallel loading of R-trees
TMC-pattern: holistic trajectory extraction, modeling and mining
Predictive analytics with surveillance big data
Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining
Towards scalable ad-hoc climate anomalies search

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Spatiotemporal data mining in the era of big spatial data: algorithms and applications

Content Provider ACM Digital Library
Author Vatsavai, Ranga Raju Ganguly, Auroop Chandola, Varun Stefanidis, Anthony Klasky, Scott Shekhar, Shashi
Abstract 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.
Starting Page 1
Ending Page 10
Page Count 10
File Format PDF
ISBN 9781450316927
DOI 10.1145/2447481.2447482
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Computational and i/o challenges Spatiotemporal patterns Big data Large scale data mining
Content Type Text
Resource Type Article
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