How Long to Read Soft Computing for Knowledge Discovery

How Long Does it Take to Read Soft Computing for Knowledge Discovery?

It takes the average reader 5 hours and 36 minutes to read Soft Computing for Knowledge Discovery by James G. Shanahan

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

Description

Knowledge discovery is an area of computer science that attempts to uncover interesting and useful patterns in data that permit a computer to perform a task autonomously or assist a human in performing a task more efficiently. Soft Computing for Knowledge Discovery provides a self-contained and systematic exposition of the key theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing - fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability (e.g. naïve Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others). In addition to describing many state-of-the-art soft computing approaches to knowledge discovery, the author introduces Cartesian granule features and their corresponding learning algorithms as an intuitive approach to knowledge discovery. This new approach embraces the synergistic spirit of soft computing and exploits uncertainty in order to achieve tractability, transparency and generalization. Parallels are drawn between this approach and other well known approaches (such as naive Bayes and decision trees) leading to equivalences under certain conditions. The approaches presented are further illustrated in a battery of both artificial and real-world problems. Knowledge discovery in real-world problems, such as object recognition in outdoor scenes, medical diagnosis and control, is described in detail. These case studies provide further examples of how to apply the presented concepts and algorithms to practical problems. The author provides web page access to an online bibliography, datasets, source codes for several algorithms described in the book, and other information. Soft Computing for Knowledge Discovery is for advanced undergraduates, professionals and researchers in computer science, engineering and business information systems who work or have an interest in the dynamic fields of knowledge discovery and soft computing.

How long is Soft Computing for Knowledge Discovery?

Soft Computing for Knowledge Discovery by James G. Shanahan is 333 pages long, and a total of 84,249 words.

This makes it 112% the length of the average book. It also has 103% more words than the average book.

How Long Does it Take to Read Soft Computing for Knowledge Discovery Aloud?

The average oral reading speed is 183 words per minute. This means it takes 7 hours and 40 minutes to read Soft Computing for Knowledge Discovery aloud.

What Reading Level is Soft Computing for Knowledge Discovery?

Soft Computing for Knowledge Discovery 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 Soft Computing for Knowledge Discovery?

Soft Computing for Knowledge Discovery by James G. Shanahan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Soft Computing for Knowledge Discovery by James G. Shanahan on Amazon click the button below.