How Long to Read Discovery and Fusion of Uncertain Knowledge in Data

By Kun Yue

How Long Does it Take to Read Discovery and Fusion of Uncertain Knowledge in Data?

It takes the average reader 3 hours and 23 minutes to read Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue

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

Description

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems. This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data...

How long is Discovery and Fusion of Uncertain Knowledge in Data?

Discovery and Fusion of Uncertain Knowledge in Data by Kun Yue is 202 pages long, and a total of 50,904 words.

This makes it 68% the length of the average book. It also has 62% more words than the average book.

How Long Does it Take to Read Discovery and Fusion of Uncertain Knowledge in Data Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 38 minutes to read Discovery and Fusion of Uncertain Knowledge in Data aloud.

What Reading Level is Discovery and Fusion of Uncertain Knowledge in Data?

Discovery and Fusion of Uncertain Knowledge in Data 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 Discovery and Fusion of Uncertain Knowledge in Data?

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