Name
Abstract | ||
|---|---|---|
In this study, we will employ a multi-agent for searching and extraction of data. We will use Integrator Agent based on CORBA architecture for the proposed model on hierarchical Clustering and Association Rule Discovery (HCARD). The model will address the inadequacy of other data mining tools in processing performance and efficiency when use for knowledge discovery. The result revealed faster searching using the agents. Our experiment also shows that the HCARD generated isolated but imperative association rules which in return could be practically explained for decision making purposes. Shorter processing time had been noted in computing for smaller clusters implying ideal processing period than dealing with the entire dataset. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596448_161 | CIS (1) |
Keywords | DocType | Volume |
hierarchical clustering,entire dataset,corba architecture,association rule discovery,shorter processing time,integrator agent,hcard model,processing performance,ideal processing period,data mining tool,association rule,distributed environment,data mining,knowledge discovery | Conference | 3801 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-30818-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bobby D. Gerardo | 1 | 27 | 13.79 |
| Jaewan Lee | 2 | 62 | 14.66 |
| Jae-jeong Hwang | 3 | 15 | 3.45 |
| Eun Jung Kim | 4 | 873 | 67.64 |