DocumentCode
2544498
Title
A System for Parallel Data Mining Service on Cloud
Author
Tao Chen ; Jidong Chen ; Baoyao Zhou
Author_Institution
EMC Labs. China, Beijing, China
fYear
2012
fDate
1-3 Nov. 2012
Firstpage
329
Lastpage
330
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location
Xiangtan
Print_ISBN
978-1-4673-3027-5
Type
conf
DOI
10.1109/CGC.2012.49
Filename
6382837
Link To Document