Title :
A System for Parallel Data Mining Service on Cloud
Author :
Tao Chen ; Jidong Chen ; Baoyao Zhou
Author_Institution :
EMC Labs. China, Beijing, China
Abstract :
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.
Keywords :
cloud computing; data mining; parallel processing; public domain software; Apache Mahout; DMaaS; Google MapReduce; Hadoop; cloud-based data mining platform; data mining-as-a-service; parallel data mining service; Clustering algorithms; Data handling; Data mining; Data processing; Data storage systems; Information management; Vegetation; cloud computing; data mining; hadoop; mahout;
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
DOI :
10.1109/CGC.2012.49