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

With the Knowledge Flow interface, users select Weka components from a tool

bar, place them on a layout canvas, and connect them into a directed graph that

processes and analyzes data. It provides an alternative to the Explorer for those

who like thinking in terms of how data flows through the system. It also allows

the design and execution of configurations for streamed data processing, which

the Explorer cannot do. You invoke the Knowledge Flow interface by selecting

KnowledgeFlowfrom the choices at the bottom of the panel shown in Figure

10.3(a).

11.1 Getting started

Here is a step-by-step example that loads an ARFF file and performs a cross-

validation using J4.8. We describe how to build up the final configuration shown

in Figure 11.1. First create a source of data by clicking on the DataSourcestab

(rightmost entry in the bar at the top) and selecting ARFFLoaderfrom the

chapter 11

The Knowledge Flow Interface

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