Name
Abstract | ||
|---|---|---|
E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining DM techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing OLAP and Spatial OLAP SOLAP. Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis non-spatial and spatial and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates UAE. The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4018/irmj.2011070104 | IRMJ |
Keywords | Field | DocType |
e-business domains,e-business domain,empirical study,e-business web,analysis technique,solap technique,online analytical processing olap,dm technique,united arab emirates uae,user-friendly data analysis non-spatial,different data analysis technique,spatial olap solap,integrating olap,data analysis,data mining,business intelligence,data fusion,e business | Data science,Electronic business,Data analysis,Computer science,Sensor fusion,Job market,Business intelligence,Online analytical processing,Empirical research | Journal |
Volume | Issue | ISSN |
24 | 3 | 1040-1628 |
Citations | PageRank | References |
1 | 0.38 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samar Mouakket | 1 | 92 | 8.51 |
| Ben Ali | 2 | 1 | 0.38 |