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A Cloud Framework for Parameter Sweeping Data Mining Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.1311openalex-snapshot
The Weka4WS framework for distributed data mining in service‐oriented Grids
inferredcites →https://doi.org/10.1016/j.future.2006.04.005openalex-snapshot
Distributed data mining services leveraging WSRF
inferredcites →https://doi.org/10.1016/j.future.2007.05.004openalex-snapshot
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
inferredcites →https://doi.org/10.1098/rsta.2009.0053openalex-snapshot
Sector and Sphere: the design and implementation of a high-performance data cloud
inferredcites →https://doi.org/10.1109/e-science.2009.53openalex-snapshot
DryadLINQ for Scientific Analyses
inferredcites →https://doi.org/10.1109/escience.2008.59openalex-snapshot
MapReduce for Data Intensive Scientific Analyses
inferredcites →https://doi.org/10.1109/icdm.2008.142openalex-snapshot
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining
inferredcites →https://doi.org/10.1109/ipdps.2008.4536311openalex-snapshot
All-pairs: An abstraction for data-intensive cloud computing
inferredcites →https://doi.org/10.1145/1401890.1402000openalex-snapshot
Data mining using high performance data clouds
inferredcites →https://doi.org/10.1145/1785414.1785451openalex-snapshot
How distributed data mining tasks can thrive as knowledge services
inferredcites →https://doi.org/10.1177/1094342003173003openalex-snapshot
The Design of Discovery Net: Towards Open Grid Services for Knowledge Discovery
inferredcites →https://doi.org/10.3115/1708124.1708137openalex-snapshot
Ranking and semi-supervised classification on large scale graphs using map-reduce
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118821930.ch51openalex-snapshot
Cloud Services for Distributed Knowledge Discovery
inferred← citeshttps://doi.org/10.1002/cpe.4400openalex-snapshot
Prometheus: A flexible toolkit for the experimentation with virtualized infrastructures
inferred← citeshttps://doi.org/10.1007/978-1-0716-1839-4_17openalex-snapshot
Microarray Data Analysis Protocol
inferred← citeshttps://doi.org/10.1007/978-3-030-72369-9_4openalex-snapshot
Cloud Computing for Enabling Big Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-31861-5_11openalex-snapshot
A Framework for Data Mining and Knowledge Discovery in Cloud Computing
inferred← citeshttps://doi.org/10.1007/978-3-319-49340-4_4openalex-snapshot
Big Data Analysis on Clouds
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_137-1openalex-snapshot
Workflow Systems for Big Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-77525-8_137openalex-snapshot
Workflow Systems for Big Data Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-32820-6_4openalex-snapshot
Enabling Cloud Interoperability with COMPSs
inferred← citeshttps://doi.org/10.1007/978-3-642-36949-0_25openalex-snapshot
Using Clouds for Scalable Knowledge Discovery Applications
inferred← citeshttps://doi.org/10.1007/s11227-016-1678-yopenalex-snapshot
Exploiting in-memory storage for improving workflow executions in cloud platforms
inferred← citeshttps://doi.org/10.1109/aina.2013.23openalex-snapshot
Intelligent Urban Video Surveillance System for Automatic Vehicle Detection and Tracking in Clouds
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622355openalex-snapshot
Parallelizing Bayesian Knowledge Tracing Tool For Large-scale Online Learning Analytics
inferred← citeshttps://doi.org/10.1109/cloudcom.2013.137openalex-snapshot
Using Clouds for Smart City Applications
inferred← citeshttps://doi.org/10.1109/hpcc.2014.63openalex-snapshot
Trajectory Pattern Mining over a Cloud-Based Framework for Urban Computing
inferred← citeshttps://doi.org/10.1109/iscid.2016.1049openalex-snapshot
A Privacy Filtering and Processing Model in Cloud Computing
inferred← citeshttps://doi.org/10.1109/ithings.2014.59openalex-snapshot
City Eyes: An Unified Computational Framework for Intelligent Video Surveillance in Cloud Environment
inferred← citeshttps://doi.org/10.1109/tetc.2015.2443714openalex-snapshot
Cloud Computing for VLSI Floorplanning Considering Peak Temperature Reduction
inferred← citeshttps://doi.org/10.1109/tpds.2016.2565480openalex-snapshot
Trajectory Pattern Mining for Urban Computing in the Cloud
inferred← citeshttps://doi.org/10.1109/tsc.2016.2589243openalex-snapshot
A Workflow Management System for Scalable Data Mining on Clouds
inferred← citeshttps://doi.org/10.1145/3349265openalex-snapshot
A Comprehensive Survey on Cloud Data Mining (CDM) Frameworks and Algorithms
inferred← citeshttps://doi.org/10.3233/978-1-61499-322-3-182openalex-snapshot
A Cloud Framework for Big Data Analytics Workflows on Azure
inferred← citeshttps://doi.org/10.48550/arxiv.2109.01661openalex-snapshot
Data science and Machine learning in the Clouds: A Perspective for the Future
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