Title
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems),Used
Delivery time: 8-12 business days (International)
Here's the resource you need if you want to apply today's most powerful data mining techniques to meet real business challenges. Data Mining: Concepts and Techniques equips you with a sound understanding of data mining principles and teaches you proven methods for knowledge discovery in large corporate databases.Written expressly for database practitioners and professionals, this book begins with a conceptual introduction designed to get you up to speed. This is followed by a comprehensive and stateoftheart coverage of data mining concepts and techniques. Each chapter functions as a standalone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. Wherever possible, the authors raise and answer questions of utility, feasibility, optimization, and scalability, keeping your eye on the issues that will affect your project's results and your overall success.Data Mining: Concepts and Techniques is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and professional classrooms.Classroom Features Available Online: instructor's manual course slides (in PowerPoint) course supplementary readings sample assignments and course projects* Offers a comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data.* Organized as a series of standalone chapters so you can begin anywhere and immediately apply what you learn.* Presents dozens of algorithms and implementation examples, all in easily understood pseudocode and suitable for use in realworld, largescale data mining projects.* Provides indepth, practical coverage of essential data mining topics, including OLAP and data warehousing, data preprocessing, concept description, association rules, classification and prediction, and cluster analysis.* Addresses advanced topics such as mining objectrelational databases, spatial databases, multimedia databases, timeseries databases, text databases, the World Wide Web, and applications in several fields.
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Shipping & Returns
Shipping
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.
Returns
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 'Data Mining: Concepts and Techniques'? A: The book primarily focuses on applying powerful data mining techniques to solve real business challenges, providing a comprehensive understanding of data mining principles.
- Q: Who is the target audience for this book? A: The target audience includes database practitioners, professionals, and students in academic settings who are interested in data mining concepts and techniques.
- Q: How many pages does the book have? A: The book contains 550 pages, offering in-depth coverage of essential data mining topics.
- Q: What edition of the book is available? A: This is the First Edition of 'Data Mining: Concepts and Techniques', published on September 8, 2000.
- Q: What are some key features of the book? A: Key features include a practical look at data mining techniques, stand-alone chapters for easy comprehension, dozens of algorithms in pseudo-code, and practical coverage of essential topics like OLAP and data preprocessing.
- Q: Does the book include classroom resources? A: Yes, the book offers classroom features available online such as an instructor's manual, course slides in PowerPoint, supplementary readings, and sample assignments.
- Q: What condition is the book in? A: The book is classified as 'Used Book in Good Condition', ensuring quality for readers.
- Q: Can this book be used for self-study? A: Absolutely, the organization of stand-alone chapters allows for self-study, enabling readers to start anywhere and apply what they learn immediately.
- Q: What advanced topics does the book cover? A: The book addresses advanced topics including mining spatial databases, multimedia databases, time-series databases, text databases, and applications on the World Wide Web.
- Q: Who are the authors of the book? A: The book is authored by Jiawei Han, who is recognized for his expertise in data mining and database management.