DocumentCode
2370872
Title
A hybrid data-mining approach in genomics and text structures
Author
Teodorescu, Horia-Nicolai ; Fira, Lucian Iulian
Author_Institution
Romanian Acad., Iasi, Romania
fYear
2003
fDate
19-22 Nov. 2003
Firstpage
649
Lastpage
652
Abstract
We introduce a genetic sequence identifier based on a hierarchical system using fuzzy and classic (crisp) neural networks. The system is based on a set of predictors and on a decision network. The prediction of the structure of the genes is addressed using a new method and tools, involving the sequence of distances between bases and neuro-fuzzy predictors. The method and system have been successful in predicting genomic sequences and text structures.
Keywords
biology computing; data mining; decision making; fuzzy neural nets; genetics; classic neural networks; data-mining approach; decision network; fuzzy neural networks; genetic sequence identifier; neuro-fuzzy predictors; text structures; Bioinformatics; Databases; Fuzzy neural networks; Fuzzy systems; Genetics; Genomics; Hierarchical systems; Intelligent networks; Neural networks; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2003. ICDM 2003. Third IEEE International Conference on
Print_ISBN
0-7695-1978-4
Type
conf
DOI
10.1109/ICDM.2003.1250999
Filename
1250999
Link To Document