Title
Introduction to Data Mining,New
Delivery time: 8-12 business days (International)
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics.Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.QuotesThis book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts.Sanjay Ranka, University of FloridaIn my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules).Mohammed Zaki, Rensselaer Polytechnic Institute
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Introduction to Data Mining'? A: The book presents fundamental concepts and algorithms in data mining, making it suitable for beginners with a modest background in mathematics.
- Q: How is the content organized in the book? A: Each major topic is divided into two chapters: the first covers basic concepts necessary for understanding, while the second explores more advanced techniques and algorithms.
- Q: Who is the author of this book? A: The author of 'Introduction to Data Mining' is Tan, Pang-Ning.
- Q: What topics are covered in 'Introduction to Data Mining'? A: The book covers major data mining techniques, including classification, clustering, and pattern mining (association rules).
- Q: What is the publication date of the book? A: The book was published on May 2, 2005.
- Q: Is 'Introduction to Data Mining' suitable for self-study? A: Yes, it includes numerous examples that illustrate key concepts, making it suitable for self-study.
- Q: What is the binding type of this book? A: The book is available in hardcover binding.
- Q: How many pages does 'Introduction to Data Mining' have? A: The book contains 792 pages.
- Q: What edition of the book is available? A: The available edition of 'Introduction to Data Mining' is the first edition.
- Q: What do experts say about this book? A: Experts have praised it for its comprehensive coverage of data mining techniques and its clarity in presenting complex concepts.