Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

ARCS
2004
Springer

favoriteEmaildiscussreport

133views Software Engineering» more ARCS 2004»

Distributed and Parallel Data Mining on the Grid

13 years 9 months ago

Distributed and Parallel Data Mining on the Grid

Download www.lrr.in.tum.de

Abstract: This paper presents the initial design and implementation of a Gridbased distributed and parallel data mining system. The Grid system, namely the Business Intelligence Grid or BIGrid, is based on heterogeneous Grid server configurations and service-oriented Grid architecture. The system follows a layered design, whose infrastructure is divided into three tiers in general - Grid tier, a service tier and a client/portal tier. Issues of design and implementation, including brokering, task scheduling, adaptive mining script preparation and parallelization are discussed. The design and implementation of BIGrid help identify the specific requirements of applying Grid-based data mining in business realm, thus pave way for future design and implementation of a real generic Gridbased data mining system.

Tianchao Li, Toni Bollinger

Real-time Traffic

ARCS 2004 | Data Mining System | Grid | Service-oriented Grid Architecture |

claim paper

Related Content

» Applying Grid Technologies to Distributed Data Mining

» Privacypreserving association rule mining in largescale distributed systems

» Troubleshooting thousands of jobs on production grids using data mining techniques

» GRID Oriented Implementation of Selforganizing Maps for Data Mining in Meteorology

» Issues in applying data mining to grid job failure detection and diagnosis

» Experiments with intransit processing for data intensive grid workflows

» Distributed Data Mining Models as Services on the Grid

» A Customizable MultiAgent System for Distributed Data Mining

» On the Parallelization of the Sparse Grid Approach for Data Mining

Post Info
More Details (n/a)

Added	30 Jun 2010
Updated	30 Jun 2010
Type	Conference
Year	2004
Where	ARCS
Authors	Tianchao Li, Toni Bollinger

Comments (0)