"Sinopsis" puede pertenecer a otra edición de este libro.
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.
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. The source code and sample datasets are also available for download (see below).
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 and software should be of interest to developers of classification-based intelligent systems and to students in machine learning and expert systems courses.
"Sobre este título" puede pertenecer a otra edición de este libro.
Gastos de envío:
EUR 11,13
De Italia a Estados Unidos de America
Descripción Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 7bc5336c398585c6095db1c30755ba94
Descripción Paperback. Condición: New. Nº de ref. del artículo: 6666-ELS-9781558602380
Descripción Paperback. Condición: Brand New. 1st edition. 302 pages. 10.00x8.00x1.00 inches. In Stock. Nº de ref. del artículo: __1558602380
Descripción Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. This book is a guide to the C4.5 system as implemented in C for the UNIX environment. It contains a guide to the system's use, the source code (about 8,800 lines), and implementation notes. The source code and sample datasets are also available on a 3.5-inch floppy diskette for a Sun workstation. Nº de ref. del artículo: B9781558602380
Descripción Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9781558602380_lsuk
Descripción PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781558602380
Descripción Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. The source code and sample datasets are also available for download (see below). Nº de ref. del artículo: 9781558602380
Descripción Condición: New. New. In shrink wrap. Looks like an interesting title! 1.44. Nº de ref. del artículo: Q-1558602380
Descripción Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Nº de ref. del artículo: C9781558602380
Descripción Kartoniert / Broschiert. Condición: New. This book is a guide to the C4.5 system as implemented in C for the UNIX environment. It contains a guide to the system s use, the source code (about 8,800 lines), and implementation notes. The source code and sample datasets are also available on a 3.5-inc. Nº de ref. del artículo: 596317423