Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

When invoking learning schemes from the graphical user interfaces or the

command line, there is no need to know anything about programming in Java.

In this section we show how to access these algorithms from your own code. In

doing so, the advantages of using an object-oriented programming language will

become clear. From now on, we assume that you have at least some rudimen-

tary knowledge of Java. In most practical applications of data mining the learn-

ing component is an integrated part of a far larger software environment. If the

environment is written in Java, you can use Weka to solve the learning problem

without writing any machine learning code yourself.

14.1 A simple data mining application

We present a simple data mining application for learning a model that classi-

fies text files into two categories,hitand miss.The application works for arbi-

trary documents: We refer to them as messages.The implementation uses the

chapter 14

Embedded Machine Learning

461