Name
Abstract | ||
|---|---|---|
As the amount of documents has grown enormously, effective classification method is becoming one of the key techniques to organize and query documents users want. The paper proposes a document classification method based fuzzy cognitive map (FCM) and introduces the FCM learning algorithm based Nonlinear Hebbian for document classification. Appropriate experiment demonstrates the efficacy of FCM in document classification. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.45 | FSKD (1) |
Keywords | Field | DocType |
fuzzy set theory,fuzzy cognitive map,hebbian learning,document classification method,pattern classification,effective classification method,document classification,appropriate experiment,key technique,nonlinear hebbian,document handling,learning algorithm,query documents user,nonlinear hebbian learning,fuzzy cognitive maps,hebbian theory,classification algorithms,evolutionary computation,computational modeling | Computer science,Web query classification,Fuzzy set,Hebbian theory,Artificial intelligence,Document classification,Pattern recognition,Fuzzy cognitive map,Algorithm,Evolutionary computation,Document handling,Statistical classification,Machine learning | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3305-6 | 4 |
PageRank | References | Authors |
0.45 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Peng | 1 | 5 | 1.83 |
| Bingru Yang | 2 | 186 | 26.67 |
| Weiwei Fang | 3 | 247 | 17.51 |