Data Mining Applications

Hanumanthappa M.

ISBN 10: 3659337528 / ISBN 13: 9783659337529

Published by LAP LAMBERT Academic Publishing Mai 2013, 2013

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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 192 pp. Englisch.

Seller Inventory # 9783659337529

Bibliographic Details

• Title: Data Mining Applications
• Publisher: LAP LAMBERT Academic Publishing Mai 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 3659337528
• ISBN 13: 9783659337529
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 304 grams

About this title

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

About the Author

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.