It takes the average reader 3 hours and 37 minutes to read Outlier Detection: Techniques and Applications by N. N. R. Ranga Suri
Assuming a reading speed of 250 words per minute. Learn more
This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.
Outlier Detection: Techniques and Applications by N. N. R. Ranga Suri is 214 pages long, and a total of 54,356 words.
This makes it 72% the length of the average book. It also has 66% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 57 minutes to read Outlier Detection: Techniques and Applications aloud.
Outlier Detection: Techniques and Applications 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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