Data Mining Applications: and Its Numerical Investigation & Performance Evaluation - Couverture souple

M., Hanumanthappa

 
9783659337529: Data Mining Applications: and Its Numerical Investigation & Performance Evaluation
Couverture souple
ISBN 10 : 3659337528 ISBN 13 : 9783659337529
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

In this work entitled “A study of some important Applications of Data Mining Techniques – Numerical Investigation and Performance Evaluation” four types of Data Mining Applications are attempted. The first Data Mining Application is to the phenomenon of salt –finger convection in superposed layers. The physical problem is the onset of finger convection in a porous layer underlying a fluid layer in a gravity modulated environment. The Second Data Mining Application is the implementation of three sequential mining algorithms .More emphasis is laid on PLWAP algorithm which is a version of the WAP tree algorithm that assigns unique binary position code to each tree node and performs the header node linkages in the pre-ordered fashion (root, left, right). The application of Genetic Algorithms to unconstrained non linear optimization problems is the Third Data Mining Application. It is observed from the present investigation that the methodology is unique in several respects and very informative. In addition to the above a novel GA (based on clustering) is also discussed.The Fourth Data Mining Application is with regard to Genetic programming and neural networks in medical data mining

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Présentation de l'éditeur

In this work entitled “A study of some important Applications of Data Mining Techniques – Numerical Investigation and Performance Evaluation” four types of Data Mining Applications are attempted. The first Data Mining Application is to the phenomenon of salt –finger convection in superposed layers. The physical problem is the onset of finger convection in a porous layer underlying a fluid layer in a gravity modulated environment. The Second Data Mining Application is the implementation of three sequential mining algorithms .More emphasis is laid on PLWAP algorithm which is a version of the WAP tree algorithm that assigns unique binary position code to each tree node and performs the header node linkages in the pre-ordered fashion (root, left, right). The application of Genetic Algorithms to unconstrained non linear optimization problems is the Third Data Mining Application. It is observed from the present investigation that the methodology is unique in several respects and very informative. In addition to the above a novel GA (based on clustering) is also discussed.The Fourth Data Mining Application is with regard to Genetic programming and neural networks in medical data mining

Biographie de l'auteur

Dr Hanumanthappa M. obtained his MCA, M.Phil and Ph.D from Bangalore University, and worked as software engineer and also EDP Manager at Oriental Bank of Commerce, Mumbai. Currently he is working as BOS chairman and Coordinator for the Department of Computer Science and Application, Bangalore University.

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
2013
Langue
anglais
ISBN 10 
3659337528
ISBN 13 
9783659337529
Reliure
Broché
Nombre de pages
192
Coordonnées du fabricant
non disponible
Personne responsable
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