A System for Parallel Data Mining Service on Cloud

We present a cloud-based data mining platform which demonstrates the solution of data mining as a service (DMaaS). In the backend, the data processing engine is based on hadoop, an open-source implementation of Google MapReduce. Implementation of the data mining algorithms in Apache Mahout is deploy...

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Bibliographic Details
Published in2012 Second International Conference on Cloud and Green Computing pp. 329 - 330
Main Authors Tao Chen, Jidong Chen, Baoyao Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
cloud computing
Clustering algorithms
Data handling
Data mining
Data processing
Data storage systems
hadoop
Information management
mahout
Vegetation
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Summary:We present a cloud-based data mining platform which demonstrates the solution of data mining as a service (DMaaS). In the backend, the data processing engine is based on hadoop, an open-source implementation of Google MapReduce. Implementation of the data mining algorithms in Apache Mahout is deployed in the platform. The user can access DMaaS from his browser for analyzing general purpose data mining problems. In this paper, we give an overview of DMaaS, present the system architecture and implementation techniques, and elaborate on a demonstration scenario.
ISBN:1467330272
9781467330275
DOI:10.1109/CGC.2012.49