Name
Abstract | ||
|---|---|---|
. The first part of this paper will give a general view of KnowledgeDiscovery in Data (KDD) in order to insist on how much it differs from the fields itstems from, and in some cases, how much it opposes them.The second part will a definition of Knowledge Discovery in Texts (KDT), asopposed to what is known presently under the name of information retrieval,information extraction, or knowledge extraction. I will provide an example of a reallifeset of rules obtained by what I want to define ... |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/BFb0095087 | ISMIS |
Keywords | Field | DocType |
knowledge discovery,information retrieval,knowledge extraction,information extraction | Information system,Inductive logic programming,Data mining,Information processing,Information retrieval,Computer science,Information extraction,Knowledge extraction,Knowledge acquisition | Conference |
ISBN | Citations | PageRank |
3-540-65965-X | 17 | 1.02 |
References | Authors | |
11 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yves Kodratoff | 1 | 581 | 172.25 |