How Long to Read Stream Data Mining: Algorithms and Their Probabilistic Properties

How Long Does it Take to Read Stream Data Mining: Algorithms and Their Probabilistic Properties?

It takes the average reader 5 hours and 30 minutes to read Stream Data Mining: Algorithms and Their Probabilistic Properties by Leszek Rutkowski

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

Description

This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who deal with stream data, e.g. in telecommunication, banking, and sensor networks.

How long is Stream Data Mining: Algorithms and Their Probabilistic Properties?

Stream Data Mining: Algorithms and Their Probabilistic Properties by Leszek Rutkowski is 330 pages long, and a total of 82,500 words.

This makes it 111% the length of the average book. It also has 101% more words than the average book.

How Long Does it Take to Read Stream Data Mining: Algorithms and Their Probabilistic Properties Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 30 minutes to read Stream Data Mining: Algorithms and Their Probabilistic Properties aloud.

What Reading Level is Stream Data Mining: Algorithms and Their Probabilistic Properties?

Stream Data Mining: Algorithms and Their Probabilistic Properties 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 Stream Data Mining: Algorithms and Their Probabilistic Properties?

Stream Data Mining: Algorithms and Their Probabilistic Properties by Leszek Rutkowski 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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