Title
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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- Q: How many pages does this book have? A: This book has three hundred twelve pages. It provides extensive information on the C4.5 system and its implementation.
- Q: What is the binding type of this book? A: The binding type is paperback. This makes it a lightweight and portable option for readers.
- Q: What are the dimensions of this book? A: The dimensions are seven point twenty-five inches in length, zero point seventy-one inches in width, and nine point twenty-five inches in height. These measurements make it easy to handle.
- Q: Who is the author of this book? A: The author is J. Ross Quinlan. He is well-known for his contributions to machine learning and classification systems.
- Q: What is the category of this book? A: This book falls under the category of Expert Systems. It is aimed at those interested in machine learning and intelligent systems.
- Q: What is the main focus of this book? A: The main focus is on classifier systems and the C4.5 algorithm. It provides a comprehensive guide to its use and implementation.
- Q: Is this book suitable for beginners in machine learning? A: Yes, this book is suitable for beginners. It starts with core learning methods and gradually introduces more complex concepts.
- Q: Can I use this book for academic purposes? A: Yes, this book can be used for academic purposes. It is a valuable resource for students studying machine learning and expert systems.
- Q: Is there a lot of code included in this book? A: Yes, the book includes about eight thousand eight hundred lines of source code. This is essential for understanding the implementation of the C4.5 system.
- Q: How should I store this book to keep it in good condition? A: Store this book in a dry, cool place away from direct sunlight. This helps preserve the binding and pages.
- Q: Are there any specific cleaning instructions for this book? A: No specific cleaning instructions are provided. It is best to keep the book clean by handling it with care.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the seller for a return or replacement. Ensure to keep the packaging for potential returns.
- Q: Is this book a good reference for software developers? A: Yes, this book serves as a good reference for software developers. It offers insights into the C4.5 algorithm and its applications.
- Q: What are the advantages of the C4.5 approach discussed in the book? A: The book discusses several advantages, including its ability to handle missing data and its effectiveness in large datasets. Case studies illustrate these points.
- Q: Is this book appropriate for professionals in AI? A: Yes, this book is appropriate for professionals in AI. It provides advanced insights into classification-based intelligent systems.
- Q: Does this book cover any real-world case studies? A: Yes, the book includes several real-world case studies. These illustrate the application of the C4.5 algorithm in practical scenarios.