DMGrid: A Data Mining System Based on Grid Computing

Authors:
Yi Wang;Liutong Xu;Guanhui Geng;Xiangang Zhao;Nan Du
Affiliations:
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing,;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing,;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing,;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing,;Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing,
Venue:
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Year:
2008

Citing 9
Cited 0

The grid: blueprint for a new computing infrastructure

The grid: blueprint for a new computing infrastructure
The knowledge grid

Communications of the ACM
An Architecture for Distributed Enterprise Data Mining

HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Data Mining on NASA's Information Power Grid

HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network

ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Design and implementation of a data mining grid-aware architecture

Future Generation Computer Systems - Special section: Data mining in grid computing environments
A Temporal Logic Based Grid Workflow Model and Scheduling Scheme

GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
VirtuE: a formal model of virtual enterprises for information markets

Journal of Intelligent Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Researchers in the field of data mining now confront a common problem that data mining tasks are time-consuming in that these tasks have to process large-scale datasets. Grid computing focuses on integrating distributed, heterogeneous and idle computers from the Internet to be a service system with high performance. Thus, it is possible to take advantage of grid computing to provide high performance computation capability to effectively reduce task durations. Here, we have successfully developed DMGrid, a grid handling data mining applications. In DMGrid, it not only considers efficient parallel computing as a crucial aspect, but also takes into account dynamic resource configuration. Unlike many existing data mining grids, DMGrid also provides an engine to execute the algorithm flow specified in an application. Moreover, it offers application execution monitoring. At last, we perform experiments and design two applications: Customer Churning Analysis and Customer Value Analysis through which the feasibility of DMGrid is validated.