How Long to Read Introduction to Data Mining and Its Applications

By S. Sumathi

How Long Does it Take to Read Introduction to Data Mining and Its Applications?

It takes the average reader 14 hours and 16 minutes to read Introduction to Data Mining and Its Applications by S. Sumathi

Assuming a reading speed of 250 words per minute. Learn more

Description

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

How long is Introduction to Data Mining and Its Applications?

Introduction to Data Mining and Its Applications by S. Sumathi is 836 pages long, and a total of 214,016 words.

This makes it 282% the length of the average book. It also has 262% more words than the average book.

How Long Does it Take to Read Introduction to Data Mining and Its Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 19 hours and 29 minutes to read Introduction to Data Mining and Its Applications aloud.

What Reading Level is Introduction to Data Mining and Its Applications?

Introduction to Data Mining and Its Applications 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.

Where Can I Buy Introduction to Data Mining and Its Applications?

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