Name
Title | ||
|---|---|---|
Intelligent And Distributed Data Warehouse For Student'S Academic Performance Analysis |
Abstract | ||
|---|---|---|
In the academic world, a large amount of data is handled each day, ranging from student's assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement a Data Warehouse. However, Data Warehouses are not able to perform predictive analysis by themselves, so machine intelligence techniques can be used for sorting, grouping, and predicting based on historical information to improve the analysis quality. This work describes a Data Warehouse architecture to carry out an academic performance analysis of students. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-22808-8_20 | ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT II |
Keywords | Field | DocType |
Intelligent data retrieval, Data Warehouse, Unique Identification Number, Academic performance | Data warehouse,Architecture,Computer science,Sorting,Ranging,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
11555 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesús Silva | 1 | 0 | 1.69 |
| Lissette Hernández-Fernández | 2 | 0 | 0.34 |
| Noel Varela | 3 | 0 | 1.69 |
| Omar Bonerge Pineda Lezama | 4 | 1 | 12.86 |
| Jorge Tafur Cabrera | 5 | 0 | 0.34 |
| Bellanith Ruth Lucena León Castro | 6 | 0 | 0.34 |
| Osman Redondo Bilbao | 7 | 0 | 0.34 |
| Leidy Pérez Coronel | 8 | 0 | 0.34 |