Grid data mining for outcome prediction in intensive care medicine

This paper introduces a distributed data mining approach suited to grid computing environments based on a supervised learning classifier system. Specific Classifier and Majority Voting methods for Distributed Data Mining (DDM) are explored and compared with the Centralized Data Mining (CDM) approach...

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Bibliographic Details
Main Author: Santos, Manuel Filipe (author)
Other Authors: Wesley, Mathew (author), Portela, Filipe (author)
Format: conferencePaper
Language:eng
Published: 2011
Subjects:
Intensive care medicine
Outcome prediction
Grid data mining
Distributed data mining
Centralized data mining
Science & Technology
Online Access:http://hdl.handle.net/1822/17750
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/17750

Internet

http://hdl.handle.net/1822/17750

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