Name
Abstract | ||
|---|---|---|
This paper proposes a software development environment which facilitates the analysis of large financial datasets by end-users. This environment is based on an event-based data model that gives a coherent representation of market activities, particularly high-frequency market and news data. The model makes it possible to define software components and Web services to manipulate entities in the model. The paper also describes a prototype implementation which allows domain experts to compose components and services to build an application. This prototype uses the Triana scientific workflow system to define workflows of existing software components and Web Services. This approach is demonstrated on a realistic case study related to processing both news and financial market data. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-642-01197-9_5 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
financial data,Triana,scientific workflow,timeseries analysis,news analysis,event model,composition framework,Web Services | Scientific workflow system,Accounting management,Market analysis,Software engineering,Computer science,Component-based software engineering,Web service,Finance,Market data,Workflow,Data model | Conference |
Volume | ISSN | Citations |
23 | 1865-1348 | 1 |
PageRank | References | Authors |
0.37 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fethi Rabhi | 1 | 427 | 50.68 |
| Omer F. Rana | 2 | 2181 | 229.52 |
| Adnene Guabtni | 3 | 118 | 8.61 |
| Boualem Benatallah | 4 | 6174 | 494.38 |