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Abstract
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Article Information:
Using Pattern Mining Algorithms in Discovery Biological Data
Morteza Poyan Rad, Seyed Hossein Hosseiniasl and Ali Abbaszadeh Sori
Corresponding Author: Morteza Poyan Rad
Submitted: January 11, 2012
Accepted: April 20, 2012
Published: October 15, 2012 |
Abstract:
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Sequences are one of the most important types of data. Recently, mining and analysis of sequence
data has been studied in several fields. In a DNA sequences may exist other characters then not exist in
alphabet. It is related to a function of the DNA that has been preserved in the evolutionary process of an
organism. Discovery of DNA sequences dataset that contains gap is very hard job for algorithms. We present
an algorithm that discovery this DNA sequences in datasets. Our algorithm used sequential pattern mining
method for in problems.
Key words: DNA sequences , gap, parallel mining, pattern mining, sequence mining, ,
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Abstract
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Cite this Reference:
Morteza Poyan Rad, Seyed Hossein Hosseiniasl and Ali Abbaszadeh Sori, . Using Pattern Mining Algorithms in Discovery Biological Data. Research Journal of Applied Sciences, Engineering and Technology, (20): 4039-4042.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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