Name
Abstract | ||
|---|---|---|
The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty of Engineering Sciences of Mumbai University, in India in the period 2017-2018 on the basis of socioeconomic data. The Weka tool is then used to perform the classification and the proposed model is statistically compared with other Bayesian classifiers. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.11.045 | Procedia Computer Science |
Keywords | Field | DocType |
Bayesian networks,Bayesian classifier,educational analysis | Naive Bayes classifier,Computer science,Markov chain,Artificial intelligence,Class variable,Higher education,Machine learning,Network structure,Bayesian probability | Conference |
Volume | ISSN | Citations |
160 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amelec Viloria | 1 | 4 | 6.81 |
| Omar Bonerge Pineda Lezama | 2 | 0 | 2.70 |
| Noel Varela | 3 | 0 | 0.34 |