Open AccessA Hybrid PSO with Dynamic Inertia Weight and GA Approach for Discovering Classification Rule in Data Mining
Author(s) -
S. Uma,
K. Rajiv Gandhi,
E. Kirubakaran,
Dr.E.Kirubakaran Dr.E.Kirubakaran
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/5074-7471
Subject(s) - computer science , particle swarm optimization , local optimum , inertia , heuristic , convergence (economics) , mathematical optimization , hybrid algorithm (constraint satisfaction) , classifier (uml) , genetic algorithm , artificial intelligence , data mining , algorithm , machine learning , mathematics , constraint logic programming , constraint satisfaction , probabilistic logic , economics , economic growth , physics , classical mechanics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom