Knowledge Mining Using Intelligent Agents
Satchidananda Dehuri, Sung‐Bae Cho · Advances in computer science and engineering · 2010
Part I: Theoretical Foundations of Knowledge Discovery in Databases and DM Theoretical Foundations of Computational Intelligence Theoretical Advances of Swarm Intelligence Part II: Computational Intelligence for Knowledge Discovery Genetic Algorithm for Knowledge Discovery Genetic Programming for Knowledge Discovery Neural Network for Knowledge discovery Multi-objective Evolutionary Algorithms for Knowledge Discovery Fuzzy Approach for Rule/Knowledge Mining Part III: Swarm Intelligence for Knowledge Discovery Particle Swarm Optimization for Knowledge Discovery Ant Colony Optimization for Knowledge Discovery Honey Bee Agents for Knowledge Discovery Termites for Knowledge Discovery Wasps for Rule/Knowledge Mining Part IV: Hybrid Intelligent Agents Techniques for KDD and DM Rough-Fuzzy Granule Neuro-Fuzzy Evolving Neural Network Hybrid Swarm Intelligence Part V: Applications and Future Directions Bio-informatics Computational Financial Marketing/Business Engineering Sciences.