Name: C4. 5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) (en Inglés)
Price: 260809.00 COP
Availability: InStock
Author: J. Ross Quinlan
ISBN: 9781558602380

portada C4. 5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

J. Ross Quinlan

Año

1992

Idioma

Inglés

N° páginas

302

Encuadernación

Tapa Blanda

ISBN

1558602380

ISBN13

9781558602380

N° edición

Categorías

Inteligencia artificial

C4. 5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) (en Inglés)

J. Ross Quinlan (Autor) · Morgan Kaufmann · Tapa Blanda

Libro Físico

$ 260.809

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Ahorras: $ 173.873

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "C4. 5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) (en Inglés)"

Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have made some of the most significant contributions to their development. This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use , the source code (about 8,800 lines), and implementation notes. C4.5 starts with large sets of cases belonging to known classes. The cases, described by any mixture of nominal and numeric properties, are scrutinized for patterns that allow the classes to be reliably discriminated. These patterns are then expressed as models, in the form of decision trees or sets of if-then rules, that can be used to classify new cases, with emphasis on making the models understandable as well as accurate. The system has been applied successfully to tasks involving tens of thousands of cases described by hundreds of properties. The book starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting. Advantages and disadvantages of the C4.5 approach are discussed and illustrated with several case studies. This book should be of interest to developers of classification-based intelligent systems and to students in machine learning and expert systems courses.