Faculty Publications
Applications Of Ann And Rules-3 To DNA Sequence Analysis
Document Type
Conference
Journal/Book/Conference Title
2009 International Conference on Application of Information and Communication Technologies, AICT 2009
Abstract
Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, artificial neural network (ANN) and RULES-3 rule induction algorithm were used to analys to DNA sequence. In the experiments different option of RULES-3 and ANN were used, and according to the amprical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extracted rule in classifying unseen data. ©2009 IEEE.
Original Publication Date
12-1-2009
DOI of published version
10.1109/ICAICT.2009.5372560
Recommended Citation
Nayir, Ahmet and Karli, Günay, "Applications Of Ann And Rules-3 To DNA Sequence Analysis" (2009). Faculty Publications. 2190.
https://scholarworks.uni.edu/facpub/2190
