Automating the Design of Data Mining Algorithms An Evolutionary Computation Approach /

• Main Authors: Pappa, Gisele L. (Author), Freitas, Alex (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Natural Computing Series,
• Subjects: Computer science.; Data structures (Computer science).; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Data Structures.; Artificial Intelligence (incl. Robotics).

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, governme...

Table of Contents:

• Data Mining
• Evolutionary Algorithms
• Genetic Programming for Classification and Algorithm Design
• Automating the Design of Rule Induction Algorithms
• Computational Results on the Automatic Design of Full Rule Induction Algorithms
• Directions for Future Research on the Automatic Design of Data Mining Algorithms.