Heuristic and Optimization for Knowledge Discovery

IGI Global eBooks · 2002

Heuristic and Optimization for Knowledge Discovery A Heuristic Algorithm for Feature Selection Based on Optimization Techniques Cost-Sensitive Classification using Decision Trees, Boosting and MetaCost Heuristic Search-Based Stacking of Classifiers Designing Component-Based Heuristic Search Engines for Knowledge Discovery Clustering Mixed Incomplete Data Bayesian Learning The Role of Sampling in Data Mining The Gamma Test Neural Networks How to Train Multilayer Perceptrons Efficiently with Large Data Cluster Analysis of Marketing Data Examining On-Line Shopping Heuristics in Medical Data Mining Understanding Credit Card Users Behaviour Heuristic Knowledge Discovery for Archaeological Data Using Cultural Algorithms and Rough Sets

Read the paper · More papers on PaperTik