tag :: Data learning,

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publications (hide)30
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1Active Learning Entropy Sampling based Clustering Optimization Method for Electricity Data
A. Qingnan, and Z. Zhaogong. International Journal of Database Management Systems (IJDMS), 14 (6): 01 -12 (December 2022)
3 months ago by @jonasleo123
show all tags
Active
Analysis,
Clustering,
Component
Data
FCM
Learning,
Learning.
Mining,
Principal
Unsupervised
ActiveAnalysis,Clustering,ComponentDataFCMLearning,Learning.Mining,PrincipalUnsupervised
(0)
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1Energy Efficiency and Sustainability Analytics for Reducing Carbon Emissions in Oil Refineries
G. Sinha. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (3): 1008-1015 (June 2024)
3 months ago by @ijtsrd
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Energy,
analytics,
carbon
data
efficiency,
emissions,
environmental
gas
greenhouse
learning,
machine
modeling,
oil
optimization,
performance
predictive
process
reduction,
refineries,
sustainability
Energy,analytics,carbondataefficiency,emissions,environmentalgasgreenhouselearning,machinemodeling,oiloptimization,performancepredictiveprocessreduction,refineries,sustainability
(0)
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1Revolutionizing Medical Coding in Clinical Trials with AI
D. Gayathri. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (2): 191-196 (April 2024)
4 months ago by @ijtsrd
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Artificialintelligence
accuracy,
clinical
coding,
compliance
cost-effectiveness,
data
efficiency,
intelligence,
language
learning,
machine
medical
natural
privacy,
processing,
regulatory
scalability,
trials,
Artificialintelligenceaccuracy,clinicalcoding,compliancecost-effectiveness,dataefficiency,intelligence,languagelearning,machinemedicalnaturalprivacy,processing,regulatoryscalability,trials,
(0)
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1Streamlining Data Collection eCRF Design and Machine Learning
D. Kannareddy. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 830-834 (February 2024)
8 months ago by @ijtsrd
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Case
Electronic
Forms,
Report
adaptability,
anomaly
clinical
collection
collection,
data
design,
detection,
eCRF
learning,
machine
quality,
real-time
streamlined
trials,
validation,
CaseElectronicForms,Reportadaptability,anomalyclinicalcollectioncollection,datadesign,detection,eCRFlearning,machinequality,real-timestreamlinedtrials,validation,
(0)
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1A framework for understanding data science
M. Brodie. ArXiv, (2024)
8 months ago by @mlbrodie
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Data
artificial
deep
discovery
intelligence,
knowledge
learning,
machine
problem-solving,
science,
Dataartificialdeepdiscoveryintelligence,knowledgelearning,machineproblem-solving,science,
(0)
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1Data Analytics for Population Health Management Strategies
R. Solanki. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (6): 40-46 (December 2023)
10 months ago by @ijtsrd
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IoT
analytics,
data
data,
delivery,
devices,
electronic
health
healthcare
learning,
machine
management,
mining
modeling,
patient
population
predictive
privacy,
records,
wearables,
IoTanalytics,datadata,delivery,devices,electronichealthhealthcarelearning,machinemanagement,miningmodeling,patientpopulationpredictiveprivacy,records,wearables,
(0)
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1Design and Development of Return Analysis System Between Purchase and Rental of Game Equipment
N. Han. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (5): 838-848 (October 2023)
10 months ago by @ijtsrd
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analysis,
data
design,
equipment,
games
learning,
machine
system
testing
yield
analysis,datadesign,equipment,gameslearning,machinesystemtestingyield
(0)
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1HEART DISEASE DIAGNOSIS WITH TREE STRUCTURAL NAÏVE BAYES
H. marid Alzamili | Ali Hasan Ali. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4 (5): 134-143 (May 2023)
a year ago by @centralasian_20
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Heart
bayes,
data
disease,
learning,
machine
mining
naïve
Heartbayes,datadisease,learning,machineminingnaïve
(0)
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1Natural Language Processing Based Disaster Management Framework
G. |. CENTRAL ASIAN JOURNAL OF MEDICAL AND NATURAL SCIENCE, 4 (1): 72-96 (January 2023)
a year ago by @centralasian_20
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Analysis,
Big
Data
Language
Learning,
Machine
Natural
ProcessingData
Sentiment
Analysis,BigDataLanguageLearning,MachineNaturalProcessingDataSentiment
(0)
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1Twitter Based Sentiment Analysis of Each Presidential Candidate Using Long Short-Term Memory
D. Shah, Y. Li, and A. Hadaegh. International Journal of Computer Science and Security (IJCSS), 15 (3): 87-96 (June 2021)
3 years ago by @cscjournals
show all tags
Analysis,
Data
Deep
LSTM,
Language
Learning,
Mining
Natural
Processing,
Sentiment
Analysis,DataDeepLSTM,LanguageLearning,MiningNaturalProcessing,Sentiment
(0)
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3Private traits and attributes are predictable from digital records of human behavior
M. Kosinski, D. Stillwell, and T. Graepel. Proceedings of the National Academy of Sciences, (March 2013)
8 years ago by @yourwelcome
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Big
data
data,
humans,
learning,
machine
mining,
networks
psychology,
social
Bigdatadata,humans,learning,machinemining,networkspsychology,social
(0)
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1Data-intensive science: a new paradigm for biodiversity studies
S. Kelling, W. Hochachka, D. Fink, M. Riedewald, R. Caruana, G. Ballard, and G. Hooker. BioScience, 59 (7): 613--620 (July 2009)
8 years ago by @yourwelcome
show all tags
Learning,
Machine
biodiversity,
birds,
citizen
data
estimator
mining,
nonparametric
science,
Learning,Machinebiodiversity,birds,citizendataestimatormining,nonparametricscience,
(0)
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1Evolutionary inference for function-valued traits: Gaussian process regression on phylogenies
N. Jones, and J. Moriarty. arXiv:1004.4668, (April 2010)Journal of the Royal Society Interface vol. 10 no. 78 20120616 (2013).
8 years ago by @yourwelcome
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-
Analysis,
Biology
Data
Learning
Learning,
Machine
Methods,
Physics
Probability,
Quantitative
Statistics
and
-Analysis,BiologyDataLearningLearning,MachineMethods,PhysicsProbability,QuantitativeStatisticsand
(0)
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1Machine learning methods without tears: a primer for ecologists.
J. Olden, J. Lawler, and N. Poff. The Quarterly Review of biology, 83 (2): 171--193 (2008)
8 years ago by @yourwelcome
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Animals,
Artificial
Decision
Ecosystem,
Fishes:
Genetic,
Intelligence,
Learning,
Machine
Software,
Species
Specificity,
Trees,
\&
algorithms,
biology,
classification,
computational
data
ecology,
fish,
freshwater,
networks,
neural
numerical
statistics
Animals,ArtificialDecisionEcosystem,Fishes:Genetic,Intelligence,Learning,MachineSoftware,SpeciesSpecificity,Trees,\&algorithms,biology,classification,computationaldataecology,fish,freshwater,networks,neuralnumericalstatistics
(0)
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1Correlated Topic Model for Web Services Ranking
Z. Mustapha AZNAG Mohamed QUAFAFOU. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)
11 years ago by @thesaiorg
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Data
Discovery,
Learning,
Machine
Models,Web
Ranking,
Representation,
Topic
service
DataDiscovery,Learning,MachineModels,WebRanking,Representation,Topicservice
(0)
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2Interactive wrapper generation with minimal user effort
U. Irmak, and T. Suel. Proceedings of the 15th international conference on World Wide Web, page 553--563. New York, NY, USA, ACM, (2006)
11 years ago by @francesco.k
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active
data
extraction,
generation
learning,
wrapper
activedataextraction,generationlearning,wrapper
(0)
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3Integrating Structural Data into Methods for Labeling Relations in Domain Ontologies
G. Wohlgenannt, A. Weichselbraun, and A. Scharl. 8th International Workshop on Web Semantics, 20th International Workshop on Database and Expert Systems Application (DEXA 2009), page 94--98. Linz, Austria, IEEE Computer Society Press, (September 2009)
13 years ago by @albert.weichselbraun
show all tags
data
data,
integration,
labeling
learning,
ontology
relation
structural
datadata,integration,labelinglearning,ontologyrelationstructural
(0)
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2Evidence Sources, Methods and Use Cases for Learning Lightweight Domain Ontologies
A. Weichselbraun, G. Wohlgenannt, and A. Scharl. Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, IGI Global, (2011)
13 years ago by @albert.weichselbraun
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Ontology
cases
data
heterogeneous
integration,
learning,
methods,
sources,
use
Ontologycasesdataheterogeneousintegration,learning,methods,sources,use
(0)
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1A discipline of evolutionary programming
P. Vitanyi. Theoretical Computer Science, 241 (1--2): 3--23 (28 June 2000)
17 years ago by @brazovayeye
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Algorithms,
Artificial
Complexity,
Computational
Computing,
Data
Evolutionary
Intelligence,
Learning,
Multiagent
Neural
Structures
Systems
algorithms,
and
genetic
programming,
Algorithms,ArtificialComplexity,ComputationalComputing,DataEvolutionaryIntelligence,Learning,MultiagentNeuralStructuresSystemsalgorithms,andgeneticprogramming,
(0)
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1Online modelling based on Genetic Programming
S. Winkler, H. Efendic, L. Del Re, M. Affenzeller, and S. Wagner. International Journal of Intelligent Systems Technologies and Applications, 2 (2/3): 255--270 (19 February 2007)
17 years ago by @brazovayeye
show all tags
GP,
algorithms,
automatic
data
diagnosis,
driven
fault
genetic
identification,
learning,
machine
model
modelling,
online
programming,
real
self-adaption,
time
GP,algorithms,automaticdatadiagnosis,drivenfaultgeneticidentification,learning,machinemodelmodelling,onlineprogramming,realself-adaption,time
(0)
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publications (hide)30
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1Active Learning Entropy Sampling based Clustering Optimization Method for Electricity Data

1Energy Efficiency and Sustainability Analytics for Reducing Carbon Emissions in Oil Refineries

1Revolutionizing Medical Coding in Clinical Trials with AI

1Streamlining Data Collection eCRF Design and Machine Learning

1A framework for understanding data science

1Data Analytics for Population Health Management Strategies

1Design and Development of Return Analysis System Between Purchase and Rental of Game Equipment

1HEART DISEASE DIAGNOSIS WITH TREE STRUCTURAL NAÏVE BAYES

1Natural Language Processing Based Disaster Management Framework

1Twitter Based Sentiment Analysis of Each Presidential Candidate Using Long Short-Term Memory

3Private traits and attributes are predictable from digital records of human behavior

1Data-intensive science: a new paradigm for biodiversity studies

1Evolutionary inference for function-valued traits: Gaussian process regression on phylogenies

1Machine learning methods without tears: a primer for ecologists.

1Correlated Topic Model for Web Services Ranking

2Interactive wrapper generation with minimal user effort

3Integrating Structural Data into Methods for Labeling Relations in Domain Ontologies

2Evidence Sources, Methods and Use Cases for Learning Lightweight Domain Ontologies

1A discipline of evolutionary programming

1Online modelling based on Genetic Programming

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