Name
Abstract | ||
|---|---|---|
The meta-learning problem has become an important issue in the recent years. This has been caused by the growing role of datamining applications in the global information systems of big companies which want to obtain benefits from the analysis of its data. It is necessary to obtain faithfull application rules that guide the datamining process in order to achieve the best possible models that explain the databases. We follow an inductive approach to discover these kind of rules. This paper explains the MAS-based information system we use for mining and meta-learning, and how the scalability problem is solved in order to support a community of many software agents. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-47772-1_23 | Agents Workshop on Infrastructure for Multi-Agent Systems |
Keywords | Field | DocType |
mas-based information system,important issue,scalability problem,meta-learning problem,datamining process,big company,datamining application,inductive approach,faithfull application rule,global information system,multi-agent system,machine learning,multi agent system | Information system,Computer science,Software agent,Multi-agent system,Artificial intelligence,Global information system,Machine learning,Scalability | Conference |
ISBN | Citations | PageRank |
3-540-42315-X | 3 | 0.73 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan A. Botía | 1 | 370 | 35.47 |
| Antonio F. Gómez-Skarmeta | 2 | 734 | 93.79 |
| Juan R. Velasco | 3 | 319 | 36.36 |
| Mercedes Garijo | 4 | 191 | 21.44 |