Name
Title | ||
|---|---|---|
S3Mining: A model-driven engineering approach for supporting novice data miners in selecting suitable classifiers |
Abstract | ||
|---|---|---|
•S3Mining framework for supporting novice data miners is proposed.•Model-driven engineering and scientific workflow standards are used by S3Mining framework.•Know-how of expert data miners is used to recommend novice data miners which algorithms to apply.•Meta-data (meta-features) is used to better understand the behavior of data mining algorithms.•S3Mining framework is implemented and available online.•An experimental evaluation is conducted using data sources from the educational domain and also from UCI Machine Learning Repository. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.csi.2019.03.004 | Computer Standards & Interfaces |
Keywords | Field | DocType |
Data mining,Knowledge base,Model-driven engineering,Meta-learning,Novice data miners,Model-driven | Computer science,Model-driven architecture,Real-time computing,Artificial intelligence,Knowledge base,Workflow,Machine learning | Journal |
Volume | ISSN | Citations |
65 | 0920-5489 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Espinosa | 1 | 1 | 0.35 |
| Diego García-Saiz | 2 | 57 | 10.32 |
| Marta E. Zorrilla | 3 | 51 | 16.05 |
| José Jacobo Zubcoff | 4 | 84 | 11.55 |
| Jose-Norberto Mazón | 5 | 763 | 56.29 |