How Long to Read Statistical and Machine Learning Approaches for Network Analysis

How Long Does it Take to Read Statistical and Machine Learning Approaches for Network Analysis?

It takes the average reader 5 hours and 49 minutes to read Statistical and Machine Learning Approaches for Network Analysis by Matthias Dehmer

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

Description

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.

How long is Statistical and Machine Learning Approaches for Network Analysis?

Statistical and Machine Learning Approaches for Network Analysis by Matthias Dehmer is 344 pages long, and a total of 87,376 words.

This makes it 116% the length of the average book. It also has 107% more words than the average book.

How Long Does it Take to Read Statistical and Machine Learning Approaches for Network Analysis Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 57 minutes to read Statistical and Machine Learning Approaches for Network Analysis aloud.

What Reading Level is Statistical and Machine Learning Approaches for Network Analysis?

Statistical and Machine Learning Approaches for Network Analysis 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.

Where Can I Buy Statistical and Machine Learning Approaches for Network Analysis?

Statistical and Machine Learning Approaches for Network Analysis by Matthias Dehmer is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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