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Data Mining nowadays is extensively applied in researches and business fields. The choice of data mining tools is practically dependent on the nature of the data to be mined. Studies have shown that certain tools perform better in certain types of dataset. This paper x-rays a typical real life incident dataset common to oil and gas industries and how decision tree algorithm fits into mining it. The application of Decision Tree mining tool on a real-world safety records perfectly reveals useful information that are subsumed in the volume and nature of the data.
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