Model of Cloud-Based Services for Data Mining Analysis
Journal
Computer and Information Science
Date Issued
2015-11-01
Author(s)
Karadimce, Aleksandar
Abstract
New cloud-based services are being developed constantly in order to meet the need for faster, reliable and
scalable methods for knowledge discovery. The major benefit of the cloud-based services is the efficient
execution of heavy computation algorithms in the cloud simply by using Big Data storage and processing
platforms. Therefore, we have proposed a model that provides data mining techniques as cloud-based services
that are available to users on their demand. The widely known data mining algorithms have been implemented as
Map/Reduce jobs that are been executed as services in cloud architecture. The user simply chooses or uploads
the dataset to the cloud, makes appropriate settings for the data mining algorithm, executes the job request to be
processed and receives the results. The major benefit of this model of cloud-based services is the efficient
execution of heavy computation data mining algorithm in the cloud simply by using the Ankus - Open Source
Big Data Mining Tool and StarfishHadoop Log Analyzer. The expected outcome of this research is to offer the
integration of the cloud-based services for data mining analysis in order to provide researchers with reliable
collaborative data mining analysis model.
scalable methods for knowledge discovery. The major benefit of the cloud-based services is the efficient
execution of heavy computation algorithms in the cloud simply by using Big Data storage and processing
platforms. Therefore, we have proposed a model that provides data mining techniques as cloud-based services
that are available to users on their demand. The widely known data mining algorithms have been implemented as
Map/Reduce jobs that are been executed as services in cloud architecture. The user simply chooses or uploads
the dataset to the cloud, makes appropriate settings for the data mining algorithm, executes the job request to be
processed and receives the results. The major benefit of this model of cloud-based services is the efficient
execution of heavy computation data mining algorithm in the cloud simply by using the Ankus - Open Source
Big Data Mining Tool and StarfishHadoop Log Analyzer. The expected outcome of this research is to offer the
integration of the cloud-based services for data mining analysis in order to provide researchers with reliable
collaborative data mining analysis model.
Subjects
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