Data Mining And Knowledge Discovery With Evolutionary Algorithms
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Author | : Alex A. Freitas |
Publisher | : Springer Science & Business Media |
Total Pages | : 272 |
Release | : 2013-11-11 |
Genre | : Computers |
ISBN | : 3662049236 |
Download Data Mining and Knowledge Discovery with Evolutionary Algorithms Book in PDF, Epub and Kindle
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
Author | : Alex A. Freitas |
Publisher | : Springer Science & Business Media |
Total Pages | : 284 |
Release | : 2002-08-21 |
Genre | : Computers |
ISBN | : 9783540433316 |
Download Data Mining and Knowledge Discovery with Evolutionary Algorithms Book in PDF, Epub and Kindle
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
Author | : Ashish Ghosh |
Publisher | : Springer Science & Business Media |
Total Pages | : 169 |
Release | : 2008-03-19 |
Genre | : Mathematics |
ISBN | : 3540774661 |
Download Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases Book in PDF, Epub and Kindle
The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.
Author | : Freitas Alex A. |
Publisher | : |
Total Pages | : 265 |
Release | : 2007-10-01 |
Genre | : |
ISBN | : 9788181287915 |
Download Data Mining And Knowledge Discovery With Evolutionary Algorithms Book in PDF, Epub and Kindle
Author | : Ashish Ghosh |
Publisher | : Springer |
Total Pages | : 279 |
Release | : 2006-06-22 |
Genre | : Computers |
ISBN | : 3540323589 |
Download Evolutionary Computation in Data Mining Book in PDF, Epub and Kindle
Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation).
Author | : Krzysztof J. Cios |
Publisher | : Springer Science & Business Media |
Total Pages | : 508 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461555892 |
Download Data Mining Methods for Knowledge Discovery Book in PDF, Epub and Kindle
Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.
Author | : Alex A. Freitas |
Publisher | : |
Total Pages | : 62 |
Release | : 2003 |
Genre | : |
ISBN | : |
Download Special Issue on Data Mining and Knowledge Discovery with Evolutionary Algorithms Book in PDF, Epub and Kindle
Author | : Nikhil Pal |
Publisher | : Springer Science & Business Media |
Total Pages | : 264 |
Release | : 2007-12-31 |
Genre | : Computers |
ISBN | : 1846281830 |
Download Advanced Techniques in Knowledge Discovery and Data Mining Book in PDF, Epub and Kindle
Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.
Author | : Ashish Ghosh |
Publisher | : Springer Science & Business Media |
Total Pages | : 1001 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642189652 |
Download Advances in Evolutionary Computing Book in PDF, Epub and Kindle
This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.
Author | : Giovanni Felici |
Publisher | : IGI Global |
Total Pages | : 402 |
Release | : 2008 |
Genre | : Business & Economics |
ISBN | : |
Download Mathematical Methods for Knowledge Discovery and Data Mining Book in PDF, Epub and Kindle
Annotation The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications.