Applied Statistical Modeling and Data Mining

This reprint comprises a compilation of 15 insightful research papers published in the Special Issue "Applied Statistical Modeling and Data Mining" within the Mathematics journal. Spanning multiple domains at the intersection of statistics, machine learning, and real-world applications, the collecti...

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collection Directory of Open Access Books
description This reprint comprises a compilation of 15 insightful research papers published in the Special Issue "Applied Statistical Modeling and Data Mining" within the Mathematics journal. Spanning multiple domains at the intersection of statistics, machine learning, and real-world applications, the collection presents diverse perspectives and innovative approaches in the field of applied statistical modeling and data mining. These selected papers explore diverse and important topics, including predictive modeling in healthcare, cybersecurity in transportation systems, data quality assessment, emergency call modeling, and innovative crime prevention strategies, among others. By covering a wide spectrum of subjects, this reprint serves as a valuable resource for researchers, academics, and practitioners interested in addressing contemporary challenges across diverse domains through statistical modeling, data mining, and machine learning applications.
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1392862024-07-04T09:36:44Z Applied Statistical Modeling and Data Mining Muñoz, José Antonio Sáez Romero Béjar, José Luis cross-validation dataset shift target shift stratification regression noise models nomenclature taxonomy noisy data classification family financial socialization financial literacy investment awareness lack of self-control saving behavior Saudi Arabia affine transformation archaeology flint (chert) multivariate statistics pattern recognition spectroscopy security crime prediction police patrol routes machine learning artificial intelligence energy efficient federated learning event-triggered communication DAG-DLT respiratory failure acute pesticide poisoning logistic regression random forests long short-term memory transportation system (TS) electrical vehicles (EVs) malware attack offense–defense game traffic flow wireless sensor network (WSN) uncertainty Cox processes crime data diffusion emergency calls spatio-temporal point processes stochastic integro-differential equations volatility academic burnout syndrome MBI-SS internal structure reliability and validity ESSEM and bifactor model utility measures synthetic data class imbalance tabular data Cuestionario Burnout Granada-University Students CBG-USS nursing students highway ETC gantry topology dynamic generation LightGBM Bayesian model combination ensemble learning logic tree logic regression simulated annealing UK10K project variable interactions emotional contagion improved susceptible-infectious-recovered model two sources of infection long-term refuge scenarios thema EDItEUR::P Mathematics and Science thema EDItEUR::P Mathematics and Science::PB Mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This reprint comprises a compilation of 15 insightful research papers published in the Special Issue "Applied Statistical Modeling and Data Mining" within the Mathematics journal. Spanning multiple domains at the intersection of statistics, machine learning, and real-world applications, the collection presents diverse perspectives and innovative approaches in the field of applied statistical modeling and data mining. These selected papers explore diverse and important topics, including predictive modeling in healthcare, cybersecurity in transportation systems, data quality assessment, emergency call modeling, and innovative crime prevention strategies, among others. By covering a wide spectrum of subjects, this reprint serves as a valuable resource for researchers, academics, and practitioners interested in addressing contemporary challenges across diverse domains through statistical modeling, data mining, and machine learning applications. 2024-07-04T09:36:38Z 2024-07-04T09:36:38Z 2024 book ONIX_20240704_9783725811052_82 9783725811052 9783725811069 https://directory.doabooks.org/handle/20.500.12854/139286 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9282 https://mdpi.com/books/pdfview/book/9282 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1106-9 10.3390/books978-3-7258-1106-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725811052 9783725811069 354 open access
spellingShingle cross-validation
dataset shift
target shift
stratification
regression
noise models
nomenclature
taxonomy
noisy data
classification
family financial socialization
financial literacy
investment awareness
lack of self-control
saving behavior
Saudi Arabia
affine transformation
archaeology
flint (chert)
multivariate statistics
pattern recognition
spectroscopy
security
crime prediction
police patrol routes
machine learning
artificial intelligence
energy efficient
federated learning
event-triggered communication
DAG-DLT
respiratory failure
acute pesticide poisoning
logistic regression
random forests
long short-term memory
transportation system (TS)
electrical vehicles (EVs)
malware attack
offense–defense game
traffic flow
wireless sensor network (WSN)
uncertainty
Cox processes
crime data
diffusion
emergency calls
spatio-temporal point processes
stochastic integro-differential equations
volatility
academic burnout syndrome
MBI-SS
internal structure
reliability and validity
ESSEM and bifactor model
utility measures
synthetic data
class imbalance
tabular data
Cuestionario Burnout Granada-University Students
CBG-USS
nursing students
highway
ETC gantry
topology dynamic generation
LightGBM
Bayesian model combination
ensemble learning
logic tree
logic regression
simulated annealing
UK10K project
variable interactions
emotional contagion
improved susceptible-infectious-recovered model
two sources of infection
long-term refuge scenarios
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Applied Statistical Modeling and Data Mining
title Applied Statistical Modeling and Data Mining
title_full Applied Statistical Modeling and Data Mining
title_fullStr Applied Statistical Modeling and Data Mining
title_full_unstemmed Applied Statistical Modeling and Data Mining
title_short Applied Statistical Modeling and Data Mining
title_sort applied statistical modeling and data mining
topic cross-validation
dataset shift
target shift
stratification
regression
noise models
nomenclature
taxonomy
noisy data
classification
family financial socialization
financial literacy
investment awareness
lack of self-control
saving behavior
Saudi Arabia
affine transformation
archaeology
flint (chert)
multivariate statistics
pattern recognition
spectroscopy
security
crime prediction
police patrol routes
machine learning
artificial intelligence
energy efficient
federated learning
event-triggered communication
DAG-DLT
respiratory failure
acute pesticide poisoning
logistic regression
random forests
long short-term memory
transportation system (TS)
electrical vehicles (EVs)
malware attack
offense–defense game
traffic flow
wireless sensor network (WSN)
uncertainty
Cox processes
crime data
diffusion
emergency calls
spatio-temporal point processes
stochastic integro-differential equations
volatility
academic burnout syndrome
MBI-SS
internal structure
reliability and validity
ESSEM and bifactor model
utility measures
synthetic data
class imbalance
tabular data
Cuestionario Burnout Granada-University Students
CBG-USS
nursing students
highway
ETC gantry
topology dynamic generation
LightGBM
Bayesian model combination
ensemble learning
logic tree
logic regression
simulated annealing
UK10K project
variable interactions
emotional contagion
improved susceptible-infectious-recovered model
two sources of infection
long-term refuge scenarios
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet cross-validation
dataset shift
target shift
stratification
regression
noise models
nomenclature
taxonomy
noisy data
classification
family financial socialization
financial literacy
investment awareness
lack of self-control
saving behavior
Saudi Arabia
affine transformation
archaeology
flint (chert)
multivariate statistics
pattern recognition
spectroscopy
security
crime prediction
police patrol routes
machine learning
artificial intelligence
energy efficient
federated learning
event-triggered communication
DAG-DLT
respiratory failure
acute pesticide poisoning
logistic regression
random forests
long short-term memory
transportation system (TS)
electrical vehicles (EVs)
malware attack
offense–defense game
traffic flow
wireless sensor network (WSN)
uncertainty
Cox processes
crime data
diffusion
emergency calls
spatio-temporal point processes
stochastic integro-differential equations
volatility
academic burnout syndrome
MBI-SS
internal structure
reliability and validity
ESSEM and bifactor model
utility measures
synthetic data
class imbalance
tabular data
Cuestionario Burnout Granada-University Students
CBG-USS
nursing students
highway
ETC gantry
topology dynamic generation
LightGBM
Bayesian model combination
ensemble learning
logic tree
logic regression
simulated annealing
UK10K project
variable interactions
emotional contagion
improved susceptible-infectious-recovered model
two sources of infection
long-term refuge scenarios
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20240704_9783725811052_82