It takes the average reader 6 hours and 11 minutes to read Nonlinear Integrals and Their Applications in Data Mining by Zhenyuan Wang
Assuming a reading speed of 250 words per minute. Learn more
Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.
Nonlinear Integrals and Their Applications in Data Mining by Zhenyuan Wang is 359 pages long, and a total of 92,981 words.
This makes it 121% the length of the average book. It also has 114% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 8 hours and 28 minutes to read Nonlinear Integrals and Their Applications in Data Mining aloud.
Nonlinear Integrals and Their Applications in Data Mining 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.
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