Beginner's question

Hi, I'm learning data mining and how to use rapid miner these days. The first thing I want to ask you is that what are the six techniques for categorizing analysis? I know "decision-tree", "rule-induction", "k-nearest neighbors", "neural network", and "naive bayes". I know only five techniques and not even sure whether they are correct. The second question is how can I exploit the data from http://archive.ics.uci.edu/ml/machine-learning-databases/ to apply the six different techniques? I would feel really thankful if you gave me one example with six techniques by using a data from that website. I hope I can get your reply as soon as possible