Data mining and decision trees

摘要: Abstract This chapter presents briefly data mining, an interdisciplinary field at the intersection of artificial intelligence, machine learning, statistics, and database systems, discusses decision trees, one most common mining tools used for classification. The processes in creating a tree are described, basic terms explained, strengths weaknesses this technique compared with more traditional statistics outlined. random forest method to increase predictive performance trees is presented detail. Finally example use sex estimation implemented step-by-step manner R.