Name
Abstract | ||
|---|---|---|
Predicting the emergence of an event enables to anticipate and make decisions upstream. For instance, in the employment sector, it becomes necessary to anticipate the emergence of competencies requirements to help job seekers, education and training organization to better match the needs of the job market. Several approaches address the competencies mining with ontologies, we adopt a different point of view by using pattern mining. We propose a new methodology to predict emerging patterns and apply it to competencies with a dataset of job offers collected on the Web. Our model allows to identify potential emerging pattern over time and thus enables to take decisions accordingly. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICTAI.2015.94 | IEEE International Conference on Tools with Artificial Intelligence |
Keywords | Field | DocType |
Emergence, Pattern mining, Competencies, Web mining | Ontology (information science),Seekers,Competence (human resources),Web mining,Computer science,Knowledge management,Job market,Market research | Conference |
ISSN | Citations | PageRank |
1082-3409 | 2 | 0.39 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yacine Abbound | 1 | 2 | 0.39 |
| Anne Boyer | 2 | 106 | 18.08 |
| Armelle Brun | 3 | 138 | 21.49 |