Once you have gone through the hard work of building a binary search tree for your data, the pay-off comes in the form of efficient searchs through the data set. Data in a binary search tree can be searched in O(log(n)) time. This makes it worthwhile to put frequently searched data sets into tree form.
The method we will use for finding data in a binary search tree is quite similar to the one that we used in Section 1 to find where in the tree to insert new elements. In other words, we will traverse the tree, going left or right according to whether the element we are looking for is less than or greater than the data in the current node. If the data we are looking for is actually in the tree, we will eventually find it. If not, we'll eventually run off the bottom of the tree.