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Data Mining

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WEKA

Soccer. Www.dfki.de/~kipp/seminar_ws0607/reports/RossenDimov.pdf. Evaluating Learning Algorithms: A Classification Perspective - Nathalie Japkowicz, Mohak Shah. Www.icmla-conference.org/icmla11/PE_Tutorial.pdf. Www.cs.ru.nl/~peterl/teaching/DM/weka.pdf. Binning. Www.ai.rug.nl/nl/vakinformatie/KI2/2003/AdvisedReading/ecoe554-10.pdf. LINKED LISTS. One of the most useful applications of records is to define organisations of data in which distinct items are linked together using a reference to another record (sometimes called pointers or access values in other languages). The simplest general form of a group of linked records is a linked list (more complex forms include trees of various types). In a linked list each record includes a reference to a following record. The final record has the value null indicating that the last record in the linked list has been reached.

Figure 1 shows a linked list of date records of the form described earlier. The standard mechanism for processing linked lists is to step through the list, using some form of loop construct, until the terminating null reference is reached. Table 1 shows a linked list of FamousPerson records. Build up the list so that records are order alphabetically according to last name and first name. Table 1: Linked list example Table 2: Linked list application program. CISC333 Data Mining. Introduction This is a tutorial for those who are not familiar with Weka, the data mining package we'll be using in Cisc 333, which was built at the University of Waikato in New Zealand. Weka is an open source collection of data mining tasks which you can utilize in a number of different ways.

It comes with a Graphical User Interface (GUI), but can also be called from your own Java code. You can even write your own batch files for tasks that you need to execute more than once, maybe with slightly different parameters each time. For now, we'll start with the GUI. First Steps Start up Weka (it's listed under All Programs if you install it on your won machines, note that there is also a tutorial available here. You now have a number of choices, but before you can work with any data, you'll have to load it into Weka. Visualization There are a number of ways in which you can use Weka to visualize your data. There is also a tab called called VISUALIZE. S Filters The log file Go to Tutorial Part 2.