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Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05)
Using the KDSM Methodology for Knowledge Discovery from a Labor Domain
Towson University, Towson, Maryland, USA
May 23-May 25
ISBN: 0-7695-2294-7
ASCII Text
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Jorge Rodas, Gabriela Alvarado, Fernando Vázquez, "Using the KDSM Methodology for Knowledge Discovery from a Labor Domain," Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on, pp. 64-69, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005.
 
 
BibTex
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@article{ 10.1109/SNPD-SAWN.2005.79,
author = {Jorge Rodas and Gabriela Alvarado and Fernando Vázquez},
title = {Using the KDSM Methodology for Knowledge Discovery from a Labor Domain},
journal ={Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2294-7},
pages = {64-69},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD-SAWN.2005.79},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
TI - Using the KDSM Methodology for Knowledge Discovery from a Labor Domain
SN - 0-7695-2294-7
SP64
EP69
A1 - Jorge Rodas,
A1 - Gabriela Alvarado,
A1 - Fernando Vázquez,
PY - 2005
KW - Knowledge Discovery and Labor Domain
VL - 0
JA - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
ER -
 
Jorge Rodas, ITESM Campus Chihuahua
Gabriela Alvarado, University of Barcelona
Fernando Vázquez, Instituto Politécnico Nacional
  • Objective — To present the Knowledge Discovery in Serial Measures (KDSM) methodology as an easy and optimal way for analyzing repeated very short serial measures with a blocking factor.
  • Method — An application to labor the domain is described using KDSM.
  • Results — Novel knowledge about labor domain?s behavior was obtained once KDSM was applied to this specific domain.
  • Conclusion — KDSM is a hybrid methodology (statistic and artificial intelligence) that gives a possible solution to a knowledge problem, especially when seemingly there are no relevant attributes.
    • Index Terms:
    Knowledge Discovery and Labor Domain
    Citation:
    Jorge Rodas, Gabriela Alvarado, Fernando Vázquez, "Using the KDSM Methodology for Knowledge Discovery from a Labor Domain," snpd-sawn, pp.64-69, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005
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