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

fYear

2006

fDate

Nov. 2006

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information Technology, 2006

Conference_Location

Dubai

Print_ISBN

1-4244-0674-9

Electronic_ISBN

1-4244-0674-9

Type

conf

DOI

10.1109/INNOVATIONS.2006.301910

Filename

4085425