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A hybrid data analytics approach for high-performance concrete compressive strength prediction
Serhat Simsek
, Mehmet Gumus
, Mohamed Khalafalla
, Tahir Bachar Issa
Information Management and Business Analytics
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
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Dive into the research topics of 'A hybrid data analytics approach for high-performance concrete compressive strength prediction'. Together they form a unique fingerprint.
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Keyphrases
Data Analytics
100%
Black-box Model
100%
High Performance Concrete
100%
Concrete Compressive Strength
100%
Compressive Strength Prediction
100%
Compressive Strength
100%
Hybrid Data
100%
Management Decisions
50%
Predictive Power
50%
Measurement Procedure
50%
Decision Support Tool
50%
Multiple Linear Regression
50%
Regression Testing
50%
Multiple Linear Regression Model
50%
EXtreme Gradient Boosting (XGB) Model
50%
Concrete Mix
50%
Public Beliefs
50%
Engineering
Concrete Compressive Strength
100%
Black-Box Model
100%
High-Performance Concrete
100%
Compression Strength
100%
Compressive Strength
100%
Concrete Mix
50%