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Sinopse
The book is amajor revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus muchmore.
Offering a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques, inside you'll find:
Algorithmic methods at the heart of successful data mining&151;including tried and true techniques as well as leading edge methods;
Performance improvement techniques that work by transforming the input or output;
Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification,regression, clustering, association rules, and visualization&151;in a new, interactive interface.
Ficha Técnica
Especificações
ISBN | 9780120884070 |
---|---|
Pré venda | Não |
Peso | 586g |
Autor para link | WITTEN IAN H.,FRANK EIBE |
Livro disponível - pronta entrega | Não |
Dimensões | 23 x 16 x 1 |
Tipo item | LIVRO IMPORTADO ADQ MERC INTERNO |
Número de páginas | 525 |
Número da edição | 2ª EDIÇÃO - 2005 |
Código Interno | 583513 |
Código de barras | 9780120884070 |
Acabamento | PAPERBACK |
Autor | WITTEN, IAN H. | FRANK, EIBE |
Editora | MORGAN KAUFMANN |
Sob encomenda | Não |