Data Mining/Mediation to Evaluate Risk of a Humanitarian Logistics Network in Mexico

2019 ◽  
pp. 359-381
Author(s):  
Eduardo-Arturo Garzón-Garnica ◽  
Patricia Cano-Olivos ◽  
Diana Sánchez-Partida ◽  
José-Luis Martínez-Flores
Keyword(s):  
Data Mining ◽  
Humanitarian Logistics ◽  
Logistics Network

A bi-objective model for humanitarian logistics network design in response to post-disaster

2019 ◽  
Vol 33 (2) ◽  
pp. 256
Author(s):  
Hamed Tayebi ◽  
Amirhossein Moosavi ◽  
Sadoullah Ebrahimnejad ◽  
Mahshid Zanganeh
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network ◽  
Objective Model ◽  
Post Disaster

A bi-objective model for humanitarian logistics network design in response to post-disaster

2019 ◽  
Vol 33 (2) ◽  
pp. 256
Author(s):  
Mahshid Zanganeh ◽  
Sadoullah Ebrahimnejad ◽  
Amirhossein Moosavi ◽  
Hamed Tayebi
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network ◽  
Objective Model ◽  
Post Disaster

scholarly journals Humanitarian logistics network design under mixed uncertainty

2016 ◽  
Vol 250 (1) ◽  
pp. 239-250 ◽  
Author(s):  
S. Tofighi ◽  
S.A. Torabi ◽  
S.A. Mansouri
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Post, Mine, and Be Disturbed: Social Media Data Mining

PsycCRITIQUES ◽  
2016 ◽  
Vol 61 (51) ◽  
Author(s):  
Daniel Keyes
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Media Data ◽  
Media Data
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