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 :
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