How Long to Read Outlier Detection for Temporal Data

How Long Does it Take to Read Outlier Detection for Temporal Data?

It takes the average reader 1 hour and 50 minutes to read Outlier Detection for Temporal Data by Manish Gupta

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

Description

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and...

How long is Outlier Detection for Temporal Data?

Outlier Detection for Temporal Data by Manish Gupta is 110 pages long, and a total of 27,500 words.

This makes it 37% the length of the average book. It also has 34% more words than the average book.

How Long Does it Take to Read Outlier Detection for Temporal Data Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 30 minutes to read Outlier Detection for Temporal Data aloud.

What Reading Level is Outlier Detection for Temporal Data?

Outlier Detection for Temporal Data 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.

Where Can I Buy Outlier Detection for Temporal Data?

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