It takes the average reader 1 hour and 26 minutes to read Sublinear Algorithms for Big Data Applications by Dan Wang
Assuming a reading speed of 250 words per minute. Learn more
The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers,...
Sublinear Algorithms for Big Data Applications by Dan Wang is 85 pages long, and a total of 21,675 words.
This makes it 29% the length of the average book. It also has 26% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 58 minutes to read Sublinear Algorithms for Big Data Applications aloud.
Sublinear Algorithms for Big Data 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.
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