Name
Abstract | ||
|---|---|---|
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neural networks on a dataset with gigabytes of data and millions of records? Can we provide explanations of discovered patterns? How useful that patterns are? How to distinguish useful, interesting patterns automatically? We aim to summarize here the state-of-the-art of the principles beyond using neural models in data mining. |
Year | Venue | Keywords |
|---|---|---|
2004 | ESANN | neural network,data mining |
Field | DocType | Citations |
Data mining,Data stream mining,Computer science,Gigabyte,Artificial intelligence,Artificial neural network,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 14 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Razvan Andonie | 1 | 117 | 17.71 |
| Boris Kovalerchuk | 2 | 235 | 50.77 |