Search Results - (( based education model algorithm ) OR ( _ application ((new algorithm) OR (tree algorithm)) ))
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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A data mining approach to construct graduates employability model in Malaysia
Published 2011“…The performance of Bayes algorithms are also compared against a number of tree-based algorithms. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…The results show that all the three machine learning algorithms produced high accuracy (above 95%) prediction results based on the hold-out testing dataset. …”
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An extended ID3 decision tree algorithm for spatial data
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Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…Following the application of a new methodology on the real site, the result indicated the consistency of DTM values of all the algorithms at different flying heights but there were relatively small differences between all the algorithms used. …”
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
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Parsing algorithms for grammars with regulated rewriting
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Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
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C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
Published 2018“…The result of this research is tthe application can classify the new students in tree structure in order that it can produce a rule. …”
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Exploring c Environment (S/O: 12826)
“…These constraints provide additional challenges in defining a suitable model and in finding a good timetable. The timetabling problem is to be rectified via hybridization of fly and suitable evolutionary algorithms. …”
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Selection, generation and extraction of MCCTree using XMCCTree
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study
Published 2024“…Conclusion: The findings demonstrated the application of ML algorithms and PCC to predict dental students’ academic performance. …”
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…This study recommends a selection trade-off as the function of prediction efficiency and efficacy of the algorithm. Particularly, the proposed optimized Bagged Trees are the most effective algorithm for energy demand prediction applications, and the proposed optimized Medium Trees are the most efficient algorithm for real-time systems. …”
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Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…The proposed EFDT and hybrid DT-SVM algorithms show a high capability of SDN applications to offer fast detection and classification of conflict flows…”
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
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