How Long to Read Developing Multi-Database Mining Applications

By Animesh Adhikari

How Long Does it Take to Read Developing Multi-Database Mining Applications?

It takes the average reader 2 hours and 16 minutes to read Developing Multi-Database Mining Applications by Animesh Adhikari

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

Description

Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.

How long is Developing Multi-Database Mining Applications?

Developing Multi-Database Mining Applications by Animesh Adhikari is 134 pages long, and a total of 34,036 words.

This makes it 45% the length of the average book. It also has 42% more words than the average book.

How Long Does it Take to Read Developing Multi-Database Mining Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 5 minutes to read Developing Multi-Database Mining Applications aloud.

What Reading Level is Developing Multi-Database Mining Applications?

Developing Multi-Database Mining Applications is suitable for students ages 10 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 Developing Multi-Database Mining Applications?

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