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Example: Decision Tree Approach Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) 1 Decision Tree Approach2 Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) 2 Decision Trees Example: • Conducted survey to see what customers were interested in new model car • Want to select customers for advertising campaign sale custId c1 c2 c3 c4 c5 c6 car taurus van van taurus merc taurus age 27 35 40 22 50 25 city newCar sf yes la yes sf yes sf yes la no la no Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) training set 3 One Possibility sale custId c1 c2 c3 c4 c5 c6 age<30 Y N city=sf Y likely car taurus van van taurus merc taurus age 27 35 40 22 50 25 city newCar sf yes la yes sf yes sf yes la no la no car=van N unlikely Y likely N unlikely Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) 4 Another Possibility sale custId c1 c2 c3 c4 c5 c6 car=taurus Y N city=sf Y likely car taurus van van taurus merc taurus age 27 35 40 22 50 25 city newCar sf yes la yes sf yes sf yes la no la no age<45 N unlikely Y likely N unlikely Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) 5 Classification Data Sets http://www.ics.uci.edu/~mlearn/MLRepository.html – http://www.ics.uci.edu/~mlearn/MLSummary.html Christoph F. Eick: Introduction Knowledge Discovery and Data Mining (KDD) 6
