Best IDEAS

This Special Issue presents selected papers by leading international experts on various database engineered applications. The leading experts include Schahram Dustdar, who served as an invited speaker at several International Database Engineered Applications Symposia, and the authors of the two high...

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Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2025
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collection Directory of Open Access Books
description This Special Issue presents selected papers by leading international experts on various database engineered applications. The leading experts include Schahram Dustdar, who served as an invited speaker at several International Database Engineered Applications Symposia, and the authors of the two highest-ranked papers from the 27th International Database Engineered Applications Symposium from Heraklion, Crete, Greece. The authors of this Special Issue present their ideas in twelve full journal articles that were reviewed for both the quality and readability of their contents. Hence, this Special Issue is a valuable resource on topics ranging from federated databases, data analytics and data mining, and data prediction and imputation to various aspects of temporal databases and genome databases.
format Online
id doab-20.500.12854ir-153051
institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1530512025-02-20T13:29:08Z Best IDEAS Revesz, Peter machine learning data cleaning missing data data imputation generative networks logical artificial intelligence knowledge bases query plan temporal logic conformance checking temporal data mining intraquery parallelism distributed computing continuum systems system representation system model lifelong learning business model classification epigraphy neural networks script family support vector machine rapid-guessing behaviour threshold determination response time data reduction techniques instance reduction multilabel classification prototype selection instance-based classification binary relevance CNN IB2 BRkNN federated learning membership inference attack privacy temporal formal verification columnar databases verified artificial intelligence linear time logic for finite traces analysis review multi-agent system (MAS) flight delay prediction network centrality random forest gradient boosting CatBoost admixture archaeogenetics data mining haplogroup Minoan mitochondria Uralic n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology This Special Issue presents selected papers by leading international experts on various database engineered applications. The leading experts include Schahram Dustdar, who served as an invited speaker at several International Database Engineered Applications Symposia, and the authors of the two highest-ranked papers from the 27th International Database Engineered Applications Symposium from Heraklion, Crete, Greece. The authors of this Special Issue present their ideas in twelve full journal articles that were reviewed for both the quality and readability of their contents. Hence, this Special Issue is a valuable resource on topics ranging from federated databases, data analytics and data mining, and data prediction and imputation to various aspects of temporal databases and genome databases. 2025-02-20T13:29:06Z 2025-02-20T13:29:06Z 2024 book ONIX_20250220_9783725827541_415 9783725827541 9783725827534 https://directory.doabooks.org/handle/20.500.12854/153051 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10260 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2753-4 10.3390/books978-3-7258-2753-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725827541 9783725827534 258 Basel open access
spellingShingle machine learning
data cleaning
missing data
data imputation
generative networks
logical artificial intelligence
knowledge bases
query plan
temporal logic
conformance checking
temporal data mining
intraquery parallelism
distributed computing continuum systems
system representation
system model
lifelong learning
business model
classification
epigraphy
neural networks
script family
support vector machine
rapid-guessing behaviour
threshold determination
response time
data reduction techniques
instance reduction
multilabel classification
prototype selection
instance-based classification
binary relevance
CNN
IB2
BRkNN
federated learning
membership inference attack
privacy
temporal formal verification
columnar databases
verified artificial intelligence
linear time logic for finite traces
analysis
review
multi-agent system (MAS)
flight delay prediction
network centrality
random forest
gradient boosting
CatBoost
admixture
archaeogenetics
data mining
haplogroup
Minoan
mitochondria
Uralic
n/a
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Best IDEAS
title Best IDEAS
title_full Best IDEAS
title_fullStr Best IDEAS
title_full_unstemmed Best IDEAS
title_short Best IDEAS
title_sort best ideas
topic machine learning
data cleaning
missing data
data imputation
generative networks
logical artificial intelligence
knowledge bases
query plan
temporal logic
conformance checking
temporal data mining
intraquery parallelism
distributed computing continuum systems
system representation
system model
lifelong learning
business model
classification
epigraphy
neural networks
script family
support vector machine
rapid-guessing behaviour
threshold determination
response time
data reduction techniques
instance reduction
multilabel classification
prototype selection
instance-based classification
binary relevance
CNN
IB2
BRkNN
federated learning
membership inference attack
privacy
temporal formal verification
columnar databases
verified artificial intelligence
linear time logic for finite traces
analysis
review
multi-agent system (MAS)
flight delay prediction
network centrality
random forest
gradient boosting
CatBoost
admixture
archaeogenetics
data mining
haplogroup
Minoan
mitochondria
Uralic
n/a
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
topic_facet machine learning
data cleaning
missing data
data imputation
generative networks
logical artificial intelligence
knowledge bases
query plan
temporal logic
conformance checking
temporal data mining
intraquery parallelism
distributed computing continuum systems
system representation
system model
lifelong learning
business model
classification
epigraphy
neural networks
script family
support vector machine
rapid-guessing behaviour
threshold determination
response time
data reduction techniques
instance reduction
multilabel classification
prototype selection
instance-based classification
binary relevance
CNN
IB2
BRkNN
federated learning
membership inference attack
privacy
temporal formal verification
columnar databases
verified artificial intelligence
linear time logic for finite traces
analysis
review
multi-agent system (MAS)
flight delay prediction
network centrality
random forest
gradient boosting
CatBoost
admixture
archaeogenetics
data mining
haplogroup
Minoan
mitochondria
Uralic
n/a
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
url ONIX_20250220_9783725827541_415