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In many real-world applications, decision trees that take account of the cost of acquiring attributes for decision making have been the research focuses. The decision-making process must learn which sequence to perform, and how to build an inexpensive and reliable inductive learning model to accomplish its task. Many previous works in the area of test-cost sensitive decision tree learning have successfully...
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