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Automating the Design of Data Mining Algorithms An Evolutionary Computation Approach 2010th Edition by Gisele Pappa, Alex Freitas ISBN 3642025402 9783642025402

Name: Automating the Design of Data Mining Algorithms An Evolutionary Computation Approach 2010th Edition by Gisele Pappa, Alex Freitas ISBN 3642025402 9783642025402
SKU: EB-9878
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Authors:Gisele L. Pappa, Alex Freitas , Tags:ISBN-13:; 9783642025402 , Author sort:Gisele L. Pappa, Alex Freitas , Languages:Languages:eng , Published:Published:Nov 2009 , Comments:Comments:Springer

SKU: EB-9878 Category: eBook PDF Tags: Alex Freitas.Automating, Algorithms, Approach 2010th, Computation, Data Mining, Design, Evolutionary, Gisele Pappa

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ISBN 10: 3642025402
ISBN 13: 978-3642025402
Author: Gisele L. Pappa, Alex Freitas

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, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. – stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.

Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach 2010th Table of contents:

Data Mining
- Overview and Concepts
- Techniques and Applications
Evolutionary Algorithms
- Fundamentals and Principles
- Types of Evolutionary Algorithms
- Applications in Optimization
Genetic Programming for Classification and Algorithm Design
- Introduction to Genetic Programming
- Applications in Classification
- Algorithm Design through Genetic Programming
Automating the Design of Rule Induction Algorithms
- Overview of Rule Induction
- Techniques for Automating Rule Induction
- Case Studies and Applications
Computational Results on the Automatic Design of Full Rule Induction Algorithms
- Experimentation and Methodology
- Results and Discussion
- Comparisons with Traditional Methods
Directions for Future Research on the Automatic Design of Data Mining Algorithms
- Challenges and Opportunities
- Emerging Trends and Technologies
- Potential Areas for Innovation in Data Mining Algorithm Design

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