Name
Abstract | ||
|---|---|---|
We propose the new RADAR technique for multi-relational data mining. This permits the mining of very large collections and provides a new technique for discovering multi-relational associations. Results show that RADAR is reliable and scalable for mining a large yeast homology collection, and that it does not have the main-memory scalability constraints of the Farmer and Warmr tools. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICDM.2004.10035 | ICDM |
Keywords | Field | DocType |
main-memory scalability constraint,scalable multi-relational association mining,multi-relational association,large yeast homology collection,multi-relational data mining,large collection,warmr tool,new radar technique,new technique,relational databases,scalability,data mining,efficiency | Radar,Data mining,Data stream mining,Concept mining,Web mining,Relational database,Information retrieval,Computer science,Association mining,Scalability | Conference |
ISBN | Citations | PageRank |
0-7695-2142-8 | 6 | 0.49 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amanda Clare | 1 | 592 | 47.37 |
| Hugh E. Williams | 2 | 1048 | 93.45 |
| Nicholas Lester | 3 | 164 | 8.41 |