Distributed Data Mining Tasks and Patterns as Services

Authors:
Domenico Talia
Affiliations:
University of Calabria, DEIS and ICAR-CNR, Rende, Italy 87036
Venue:
Euro-Par 2008 Workshops - Parallel Processing
Year:
2009

Citing 3
Cited 0

Distributed data mining services leveraging WSRF

Future Generation Computer Systems - Special section: Data mining in grid computing environments
MapReduce: simplified data processing on large clusters

Communications of the ACM - 50th anniversary issue: 1958 - 2008
The Weka4WS framework for distributed data mining in service-oriented Grids

Concurrency and Computation: Practice & Experience

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses large-grain programming issues in data intensive applications designed for Grids and distributed infrastructures. We outline how Grid-based and service-oriented programming mechanisms can be developed as a collection of Grid/Web/Cloud services and investigate how they can be used to develop distributed data analysis tasks and knowledge discovery applications exploiting the SOA model. Then we discuss a strategy based on the use of services for the design of open distributed knowledge discovery tasks and applications on Grids and distributed systems. Some examples of frameworks developed according to this approach are outlined.