Title
Data Mining for Grammatical Inference with Bioinformatics Criteria
Abstract
In this paper we describe both theoretical and practical results of a novel data mining process that combines hybrid techniques of association analysis and classical sequentiation algorithms of genomics to generate grammatical structures of a specific language. We used an application of a compilers generator system that allows the development of a practical application within the area of grammarware, where the concepts of the language analysis are applied to other disciplines, such as Bioinformatic. The tool allows the complexity of the obtained grammar to be measured automatically from textual data. A technique of incremental discovery of sequential patterns is presented to obtain simplified production rules, and compacted with bioinformatics criteria to make up a grammar.
Year
DOI
Venue
2012
10.1016/j.eswa.2011.08.058
Expert Systems with Applications: An International Journal
Keywords
DocType
Volume
dna,specification language,association analysis,grammatical inference,data mining
Journal
39
Issue
ISSN
ISBN
3
0957-4174
3-642-13802-0
Citations 
PageRank 
References 
1
0.35
2
Authors
5
Name
Order
Citations
PageRank
Vivian F. López Batista16312.89
Ramiro Aguilar221.10
Luis Alonso310.35
María N. Moreno García414826.06
Juan M. Corchado52899239.10