It takes the average reader 3 hours and 22 minutes to read Big Data Analytics for Smart Transport and Healthcare Systems by Saeid Pourroostaei Ardakani
Assuming a reading speed of 250 words per minute. Learn more
This book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.
Big Data Analytics for Smart Transport and Healthcare Systems by Saeid Pourroostaei Ardakani is 197 pages long, and a total of 50,629 words.
This makes it 66% the length of the average book. It also has 62% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 36 minutes to read Big Data Analytics for Smart Transport and Healthcare Systems aloud.
Big Data Analytics for Smart Transport and Healthcare Systems 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.
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