Title :
Fuzzy Adaptive Resonance Theory for Content-Based Data Retrieval
Author :
Fard, Amin Milani ; Akbari, Hoda ; Mohammad, R. ; Akbarzadeh, T.
Author_Institution :
Dept. of Comput. Eng., Ferdowsi Univ., Mashhad
Abstract :
In this paper we propose a content-based text and image retrieval architecture using fuzzy adaptive resonance theory neural network. This method is equipped with an unsupervised mechanism for dynamic data clustering to deal with incremental information without metadata such as in Web environment. Results show noticeable average precision and recall over search results
Keywords :
ART neural nets; content-based retrieval; fuzzy neural nets; image retrieval; meta data; pattern clustering; search engines; Web environment; Web search engines; content-based data retrieval; content-based image retrieval architecture; content-based information retrieval; data clustering; fuzzy adaptive resonance theory; metadata; neural network; Computer networks; Content based retrieval; Data mining; Fuzzy neural networks; Information retrieval; Neural networks; Prototypes; Resonance; Search engines; Subspace constraints; Content-based information retrieval; Fuzzy-ART; Neural networks; Web search engines;
Conference_Titel :
Innovations in Information Technology, 2006
Conference_Location :
Dubai
Print_ISBN :
1-4244-0674-9
Electronic_ISBN :
1-4244-0674-9
DOI :
10.1109/INNOVATIONS.2006.301910
