How Long to Read Data Mining: Concepts and Techniques

How Long Does it Take to Read Data Mining: Concepts and Techniques?

It takes the average reader 5 hours and 33 minutes to read Data Mining: Concepts and Techniques by Dr. Pratibha N. Atram

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

Description

Concepts and Methods for Data Mining offer the framework for understanding and using the methods for analyzing data or information for usage in a range of contexts. Data mining is defined, along with the methods and software used to extract insights from large datasets. The term "knowledge discovery from data" (KDD) is used to describe the content of this book. It examines the practicality, utility, efficiency, and scalability of methods for handling massive data volumes. This new version begins with a description of data mining and then moves on to techniques for discovering, preprocessing, processing, and storing data. Following that, the data warehouses, OLAP, as well as data cube technologies are discussed. Then, the procedures for discovering repeating structures in huge datasets are outlined. This book explains all you need to know about data clustering and classification techniques. The subsequent chapters explore data mining's patterns, uses, and potential future directions, with a focus on outlier identification. The book is meant for readers interested in data mining, including CS students, software developers, company executives, and academics.

How long is Data Mining: Concepts and Techniques?

Data Mining: Concepts and Techniques by Dr. Pratibha N. Atram is 326 pages long, and a total of 83,456 words.

This makes it 110% the length of the average book. It also has 102% more words than the average book.

How Long Does it Take to Read Data Mining: Concepts and Techniques Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 36 minutes to read Data Mining: Concepts and Techniques aloud.

What Reading Level is Data Mining: Concepts and Techniques?

Data Mining: Concepts and Techniques 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 Data Mining: Concepts and Techniques?

Data Mining: Concepts and Techniques by Dr. Pratibha N. Atram is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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