C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning),Used
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning),Used
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning),Used

C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning),Used

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Classifier systems play a major role in machine learning and knowledgebased 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 ifthen 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 classificationbased intelligent systems and to students in machine learning and expert systems courses.

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Frequently Asked Questions

  • Q: What is the main focus of the book 'C4.5: Programs for Machine Learning'? A: The book primarily focuses on classifier systems in machine learning, detailing the C4.5 algorithm developed by Ross Quinlan, which is instrumental in creating decision trees and if-then rule models for classification tasks.
  • Q: Who is the author of this book? A: The author of 'C4.5: Programs for Machine Learning' is J. Ross Quinlan, a prominent figure in the field of machine learning.
  • Q: What type of content does the book provide? A: The book includes a comprehensive guide to the C4.5 system, the source code consisting of approximately 8,800 lines, implementation notes, and case studies illustrating the effectiveness of the C4.5 approach.
  • Q: How many pages does the book have? A: The book contains a total of 312 pages.
  • Q: What edition of the book is available? A: This listing is for the first edition of 'C4.5: Programs for Machine Learning', published on October 15, 1992.
  • Q: What are the key features of this book? A: Key features of the book include its detailed explanation of the C4.5 algorithm, practical implementation notes, and discussions on the advantages and disadvantages of the C4.5 approach.
  • Q: Is the book suitable for beginners in machine learning? A: While the book covers fundamental concepts, it is most beneficial for those with a basic understanding of machine learning principles and is particularly valuable for developers and students in related courses.
  • Q: What condition is the book in? A: The book is listed as 'New', indicating it is unused and in pristine condition.
  • Q: What subject category does this book fall under? A: The book is categorized under 'Expert Systems', making it relevant for those studying or working in artificial intelligence and machine learning.
  • Q: What programming environment is the C4.5 system implemented for? A: The C4.5 system is implemented in C for the UNIX environment, as detailed in the book.