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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!),Used
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Data Mining and Anlaytics are the foundation technologies for the new knowledge based world where we build models from data and databases to understand and explore our world. Data mining can improve our business, improve our government, and improve our life and with the right tools, any one can begin to explore this new technology, on the path to becoming a data mining professional. This book aims to get you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and within minutes you will have the data visualised and some models built. This is the first step in a journey to data mining and analytics. The book encourages the concept of programming by example and programming with data more than just pushing data through tools, but learning to live and breathe the data, and sharing the experience so others can copy and build on what has gone before. It is accessible to many readers and not necessarily just those with strong backgrounds in computer science or statistics. Details of some of the more popular algorithms for data mining are very simply and, more importantly, clearly explained. Technology for transforming a database through data mining and machine learning into knowledge is now readily accessible.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'Data Mining with Rattle and R'? A: The book primarily focuses on introducing data mining and analytics, teaching readers how to use the Rattle toolkit to visualize data and build models quickly.
- Q: Who is the author of this book? A: The author of 'Data Mining with Rattle and R' is Graham Williams.
- Q: What is the publication date of this book? A: The book was published on August 4, 2011.
- Q: Is this book suitable for beginners in data mining? A: Yes, the book is designed to be accessible to readers with varying backgrounds, including those with little to no experience in computer science or statistics.
- Q: How many pages does this book have? A: The book contains 394 pages.
- Q: What type of binding does this book have? A: The book is available in paperback binding.
- Q: What are some key features of this book? A: The book emphasizes practical programming by example, clearly explains popular data mining algorithms, and encourages readers to engage deeply with data.
- Q: Can this book help improve business practices? A: Yes, 'Data Mining with Rattle and R' discusses how data mining can enhance business operations and decision-making.
- Q: Is this book focused solely on theory? A: No, the book balances theory with practical applications, allowing users to apply concepts using the Rattle toolkit.
- Q: What is the edition of this book? A: This is the 2011 edition of 'Data Mining with Rattle and R'.