Introduction -- Information and entropy -- Screening for relationships -- Displaying relationship anomalies -- Fun with eigenvectors -- Using the datamine program.
Summary:
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algoritms that are effective in a wide variety of prediction and classification applications. All algoritms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.