Data Mining and Machine Learning with Applications

The Special Issue entitled "Data Mining and Machine Learning with Applications” aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue...

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Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2024
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Acceso en liña:ONIX_20240514_9783036598079_45
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collection Directory of Open Access Books
description The Special Issue entitled "Data Mining and Machine Learning with Applications” aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue. It is our hope that readers can benefit from the valuable insights presented in these papers, ultimately contributing to the advancement of these rapidly expanding areas. Furthermore, we believe that this Special Issue will shed light on major developments in machine learning and data mining, drawing the attention of the scientific community towards further investigations that will expedite the implementation of these techniques.
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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-1374432024-05-14T13:06:10Z Data Mining and Machine Learning with Applications Fang, Wei Flight Maneuver Recognition (FMR) unsupervised clustering phase space reconstruction climate disasters ENSO forecasting artificial intelligence machine learning deep learning intrusion detection genetic algorithm greedy search backward elimination learning NSL-KDD CIC-IDS-2017 CIC-IDS2018 Markov decision process maintenance decision-making rolling bearing LSTM IoT ECDH symmetric cryptographic authentication assisting glaucoma screening convolutional neural network fundus image analysis information aggregation logic mining data mining log-linear analysis reverse analysis statistical classification evolutionary computation discrete Hopfield neural network ransomware detection malware analysis feature extraction Internet of Things (IoT) GDP time fusion transformers multi-horizon forecasting interpretability image denoising wavelet transform Unet image pyramid multi-scale features clustering greenhouse gas finite-time thermodynamics climate change class association rules representative rule model coverage classification thema EDItEUR::U Computing and Information Technology::UY Computer science The Special Issue entitled "Data Mining and Machine Learning with Applications” aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue. It is our hope that readers can benefit from the valuable insights presented in these papers, ultimately contributing to the advancement of these rapidly expanding areas. Furthermore, we believe that this Special Issue will shed light on major developments in machine learning and data mining, drawing the attention of the scientific community towards further investigations that will expedite the implementation of these techniques. 2024-05-14T13:05:59Z 2024-05-14T13:05:59Z 2024 book ONIX_20240514_9783036598079_45 9783036598079 9783036598185 https://directory.doabooks.org/handle/20.500.12854/137443 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8597 https://mdpi.com/books/pdfview/book/8597 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9818-5 10.3390/books978-3-0365-9818-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036598079 9783036598185 272 open access
spellingShingle Flight Maneuver Recognition (FMR)
unsupervised clustering
phase space reconstruction
climate disasters
ENSO forecasting
artificial intelligence
machine learning
deep learning
intrusion detection
genetic algorithm
greedy search
backward elimination learning
NSL-KDD
CIC-IDS-2017
CIC-IDS2018
Markov decision process
maintenance decision-making
rolling bearing
LSTM
IoT
ECDH
symmetric cryptographic
authentication
assisting glaucoma screening
convolutional neural network
fundus image analysis
information aggregation
logic mining
data mining
log-linear analysis
reverse analysis
statistical classification
evolutionary computation
discrete Hopfield neural network
ransomware detection
malware analysis
feature extraction
Internet of Things (IoT)
GDP
time fusion transformers
multi-horizon forecasting
interpretability
image denoising
wavelet transform
Unet
image pyramid
multi-scale features
clustering
greenhouse gas
finite-time thermodynamics
climate change
class association rules
representative rule
model coverage
classification
thema EDItEUR::U Computing and Information Technology::UY Computer science
Data Mining and Machine Learning with Applications
title Data Mining and Machine Learning with Applications
title_full Data Mining and Machine Learning with Applications
title_fullStr Data Mining and Machine Learning with Applications
title_full_unstemmed Data Mining and Machine Learning with Applications
title_short Data Mining and Machine Learning with Applications
title_sort data mining and machine learning with applications
topic Flight Maneuver Recognition (FMR)
unsupervised clustering
phase space reconstruction
climate disasters
ENSO forecasting
artificial intelligence
machine learning
deep learning
intrusion detection
genetic algorithm
greedy search
backward elimination learning
NSL-KDD
CIC-IDS-2017
CIC-IDS2018
Markov decision process
maintenance decision-making
rolling bearing
LSTM
IoT
ECDH
symmetric cryptographic
authentication
assisting glaucoma screening
convolutional neural network
fundus image analysis
information aggregation
logic mining
data mining
log-linear analysis
reverse analysis
statistical classification
evolutionary computation
discrete Hopfield neural network
ransomware detection
malware analysis
feature extraction
Internet of Things (IoT)
GDP
time fusion transformers
multi-horizon forecasting
interpretability
image denoising
wavelet transform
Unet
image pyramid
multi-scale features
clustering
greenhouse gas
finite-time thermodynamics
climate change
class association rules
representative rule
model coverage
classification
thema EDItEUR::U Computing and Information Technology::UY Computer science
topic_facet Flight Maneuver Recognition (FMR)
unsupervised clustering
phase space reconstruction
climate disasters
ENSO forecasting
artificial intelligence
machine learning
deep learning
intrusion detection
genetic algorithm
greedy search
backward elimination learning
NSL-KDD
CIC-IDS-2017
CIC-IDS2018
Markov decision process
maintenance decision-making
rolling bearing
LSTM
IoT
ECDH
symmetric cryptographic
authentication
assisting glaucoma screening
convolutional neural network
fundus image analysis
information aggregation
logic mining
data mining
log-linear analysis
reverse analysis
statistical classification
evolutionary computation
discrete Hopfield neural network
ransomware detection
malware analysis
feature extraction
Internet of Things (IoT)
GDP
time fusion transformers
multi-horizon forecasting
interpretability
image denoising
wavelet transform
Unet
image pyramid
multi-scale features
clustering
greenhouse gas
finite-time thermodynamics
climate change
class association rules
representative rule
model coverage
classification
thema EDItEUR::U Computing and Information Technology::UY Computer science
url ONIX_20240514_9783036598079_45