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Multi-agent approach for data mining-based bagging ensembles to improve the decision process for big data.
Ahmed Ghenabzia
Okba Kazar
Abdelhak Merizig
Zaoui Sayah
Merouane Zoubeidi
Published in:
Int. J. Inf. Commun. Technol. (2020)
Keyphrases
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big data
decision process
data mining
data science
multi agent
data analysis
decision making
knowledge discovery
decision support
data visualization
ensemble methods
business intelligence
data warehousing
data stores
massive datasets
big data analytics
machine learning
cloud computing
data management
data analytics
predictive modeling
decision trees
decision makers
ensemble learning
random forests
decision support system
massive data
decision processes
social media
health informatics
unstructured data
base classifiers
data processing
data intensive computing
data mining methods
ensemble selection
vast amounts of data
statistical learning
ensemble classifier
imbalanced data
data warehouse
data mining applications
information retrieval
data mining techniques
neural network ensembles
artificial intelligence
statistical data mining
ensemble members
training set
classifier ensemble
query language
text mining