loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)
Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS
Bethesda, Maryland
March 26-March 27
ISBN: 0-7695-1004-3
ASCII Text
x 
 
Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder, "Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS," Computer-Based Medical Systems, IEEE Symposium on, pp. 0011, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.
 
 
BibTex
x
 
@article{ 10.1109/CBMS.2001.941690,
author = {Rachel L. Freeman and Jerzy W. Grzymala-Busse and Laura A. Riffel and Stephen R. Schroeder},
title = {Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2001},
isbn = {0-7695-1004-3},
pages = {0011},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941690},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS
SN - 0-7695-1004-3
SP
EP
A1 - Rachel L. Freeman,
A1 - Jerzy W. Grzymala-Busse,
A1 - Laura A. Riffel,
A1 - Stephen R. Schroeder,
PY - 2001
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Rachel L. Freeman, University of Kansas
Jerzy W. Grzymala-Busse, University of Kansas
Laura A. Riffel, University of Kansas
Stephen R. Schroeder, University of Kansas
Abstract: The relation between physiological events, environmental factors, and the occurrence of problem behavior in natural settings was analyzed using data mining system LERS (Learning from Examples based on Rough Sets). Data on heart rate were linked to environmental and behavioral data coded from videotapes of one adult subject diagnosed with severe mental retardation and who engaged in problem behavior. The results of the analysis suggest that using data mining system LERS will be a valuable strategy for exploring large data sets that include heart rate, environmental, and behavioral measures.
Citation:
Rachel L. Freeman, Jerzy W. Grzymala-Busse, Laura A. Riffel, Stephen R. Schroeder, "Analyzing the Relation between Heart Rate, Problem Behavior, and Environmental Events Using Data Mining System LERS," cbms, pp.0011, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001
Usage of this product signifies your acceptance of the Terms of Use.