Frequent Pattern Discovery from Gene Expression Data: An Experimental Approach - Couverture souple

Mishra, Shruti; Mishra, Debahuti; Satapathy, Sandeep Kumar

 
9783845402550: Frequent Pattern Discovery from Gene Expression Data: An Experimental Approach
Couverture souple
ISBN 10 : 3845402555 ISBN 13 : 9783845402550
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Data mining is usually mentioned in the broader setting of knowledge discovery in databases (KDD), and is viewed as a single step in a larger process called the KDD process. Frequent Pattern Mining (FPM) plays a vital role especially in the real time data mining research because of its wide applicability in industry areas, including process control, production data mining and many other important real time data mining tasks. Creating an association between variables is always of interest in genomic studies. FPM has been applied successfully for discovering interesting association patterns between various genes. Motivated by several heuristics to reduce the number of database scans in the context of frequent pattern mining, the concept of fuzziness on the original gene expression data set was provided in order to discretize the value in terms of under expressed and over expressed genes. Certain soft computing approaches were used to optimize the findings and generate frequent patterns based on the fuzzy frequent pattern mining algorithms. It was observed that fuzzy set helped a lot to find better results in terms of number of frequent patterns.

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Présentation de l'éditeur

Data mining is usually mentioned in the broader setting of knowledge discovery in databases (KDD), and is viewed as a single step in a larger process called the KDD process. Frequent Pattern Mining (FPM) plays a vital role especially in the real time data mining research because of its wide applicability in industry areas, including process control, production data mining and many other important real time data mining tasks. Creating an association between variables is always of interest in genomic studies. FPM has been applied successfully for discovering interesting association patterns between various genes. Motivated by several heuristics to reduce the number of database scans in the context of frequent pattern mining, the concept of fuzziness on the original gene expression data set was provided in order to discretize the value in terms of under expressed and over expressed genes. Certain soft computing approaches were used to optimize the findings and generate frequent patterns based on the fuzzy frequent pattern mining algorithms. It was observed that fuzzy set helped a lot to find better results in terms of number of frequent patterns.

Biographie de l'auteur

Shruti MishraAssistant Professor, Department of Computer Science & Engineering,Institute of Technical Education and Research,Siksha O Anusandhan Deemed to be University.Dr. Debahuti MishraAssociate Professor, Department of Computer Applications,ITER, SOA Deemed to be UniversitySandeep K. SatapathyAssistant Professor, Department of CSEITER

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3845402555
ISBN 13 
9783845402550
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
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