On the public citation graph
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-11538-2_19openalex-snapshot
On Massive Spatial Data Retrieval Based on Spark
inferredcites →https://doi.org/10.1007/978-3-642-02279-1_24openalex-snapshot
Experiences on Processing Spatial Data with MapReduce
inferredcites →https://doi.org/10.1016/j.future.2008.06.007openalex-snapshot
Atomicity and provenance support for pipelined scientific workflows
inferredcites →https://doi.org/10.1080/15230406.2013.776212openalex-snapshot
Evaluating the “geographical awareness” of individuals: an exploratory analysis of twitter data
inferredcites →https://doi.org/10.1109/cloud.2013.41openalex-snapshot
CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-Demand and Spot Instances
inferredcites →https://doi.org/10.1109/cloud.2015.22openalex-snapshot
Dart: A Geographic Information System on Hadoop
inferredcites →https://doi.org/10.1109/cloudcom.2010.110openalex-snapshot
Rapid Processing of Synthetic Seismograms Using Windows Azure Cloud
inferredcites →https://doi.org/10.1109/escience.2008.169openalex-snapshot
MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS
inferredcites →https://doi.org/10.1109/gcc.2009.16openalex-snapshot
Spatial Queries Evaluation with MapReduce
inferredcites →https://doi.org/10.1109/icdew.2015.7129541openalex-snapshot
Large-scale spatial join query processing in Cloud
inferredcites →https://doi.org/10.1109/icpp.2014.12openalex-snapshot
SMARTH: Enabling Multi-pipeline Data Transfer in HDFS
inferredcites →https://doi.org/10.1109/iita-grs.2010.5603956openalex-snapshot
Research and implementation on spatial data storage and operation based on Hadoop platform
inferredcites →https://doi.org/10.1109/services.2011.90openalex-snapshot
Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2
inferredcites →https://doi.org/10.1145/1869692.1869694openalex-snapshot
Towards personal high-performance geospatial computing (HPC-G)
inferredcites →https://doi.org/10.1145/2481244.2481247openalex-snapshot
Scaling big data mining infrastructure
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-57045-7_3openalex-snapshot
(A)kNN Query Processing on the Cloud: A Survey
inferred← citeshttps://doi.org/10.1016/j.apgeog.2020.102382openalex-snapshot
Developing a geospatial data-driven solution for rapid natural wildfire risk assessment
inferred← citeshttps://doi.org/10.1080/13658816.2020.1778003openalex-snapshot
Adaptive simplification of GPS trajectories with geographic context – a quadtree-based approach
inferred← citeshttps://doi.org/10.1109/ccaa.2018.8777577openalex-snapshot
Analysis of GIS Data for Deriving Seismic Activity Pattern in India using Apache Spark
inferred← citeshttps://doi.org/10.1109/cloud.2017.20openalex-snapshot
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120980openalex-snapshot
Comparative Analysis of Spark and Ignite for Big Spatial Data Processing
inferred← citeshttps://doi.org/10.22266/ijies2017.1231.26openalex-snapshot
Location Aware Social Networks User Profiling Using Big Data Analytics
inferred← citeshttps://doi.org/10.53469/jtpes.2024.04(02).06openalex-snapshot
Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN
inferred← citeshttps://doi.org/10.53469/jtpes.2024.04(02).08openalex-snapshot
Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization
inferred← citeshttps://doi.org/10.56294/la2025183openalex-snapshot
Big Data Processing Methods in GIS
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