How Long to Read Data Mining, Rough Sets and Granular Computing

How Long Does it Take to Read Data Mining, Rough Sets and Granular Computing?

It takes the average reader 9 hours and 29 minutes to read Data Mining, Rough Sets and Granular Computing by Tsau Young Lin

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

Description

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.

How long is Data Mining, Rough Sets and Granular Computing?

Data Mining, Rough Sets and Granular Computing by Tsau Young Lin is 556 pages long, and a total of 142,336 words.

This makes it 188% the length of the average book. It also has 174% more words than the average book.

How Long Does it Take to Read Data Mining, Rough Sets and Granular Computing Aloud?

The average oral reading speed is 183 words per minute. This means it takes 12 hours and 57 minutes to read Data Mining, Rough Sets and Granular Computing aloud.

What Reading Level is Data Mining, Rough Sets and Granular Computing?

Data Mining, Rough Sets and Granular Computing 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, Rough Sets and Granular Computing?

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