It takes the average reader 12 hours and 37 minutes to read Introduction to Data Mining: Pearson New International Edition PDF eBook by Pang-Ning Tan
Assuming a reading speed of 250 words per minute. Learn more
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. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In 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
Introduction to Data Mining: Pearson New International Edition PDF eBook by Pang-Ning Tan is 737 pages long, and a total of 189,409 words.
This makes it 249% the length of the average book. It also has 231% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 17 hours and 15 minutes to read Introduction to Data Mining: Pearson New International Edition PDF eBook aloud.
Introduction to Data Mining: Pearson New International Edition PDF eBook is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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