… It is argued in this paper that for problem-solving behaviour based on an induced decision
tree to … used in the induction process must reflect the problem-solving strategies of the expert. …

… algorithm for inducing decision trees equivalent to those … decision tree can be seen as a
divide-andconquer strategy for object classification. Formally, one can define a decision tree …

… on Internet storefronts using machine learning techniques, and especially decisiontree
induction techniques. Using tree induction techniques, data-mining tools can generate marketing …

… selection in strategic induction may be beneficial in terms of accuracy and efficiency of the
induced decision trees. We present a new algorithm for strategic induction of decision trees …

… Induced decision trees are an extensively-researched solution to classi cation tasks. For …
search strategy. The bottom-up pruning strategy starts with the lowest internal nodes in the tree (…

… inducing decision trees follow an approach described by Quinlan as top-down induction of
decision trees (… compare OC1’s search strategy with that of two existing oblique decision tree …

… decisions of strategies, and are notoriously hard to minimize to obtain succinct representation.
In this work we propose decision trees for strategy … unfolds induces any information gain. …

… induced decision tree to be easily explained, the induction process should reflect the
problem-solving strategies … ], an algorithm for induction of decision trees in which attribute …

… In 1986 Quinlan introduced ID3 [16][17], an algorithm for inducing decision trees. In 1993 …
strategy as being the best one, but exhibit differences in the ranking of the remaining strategies…

… This study discusses the classification of using decision tree induction approach. Prediction
… of the induced trees is significantly reduced when a different pruning strategy is adopted. …