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- W1479969418 abstract "Decision tree construction is a very well studied problem in data mining, machine learning, and statistics communities [3,2,7,8,9]. The input to a decision tree construction algorithm is a database of training records. Each record has several attributes. An attribute whose underlying domain is totally ordered is called a numerical attribute. Other attributes are called categorical attributes. One particular attribute is called class label, and typically can hold only two values, true and false. All other attributes are referred to as predictor attributes." @default.
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- W1479969418 date "2002-01-01" @default.
- W1479969418 modified "2023-10-16" @default.
- W1479969418 title "Shared Memory Parallelization of Decision Tree Construction Using a General Data Mining Middleware" @default.
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- W1479969418 doi "https://doi.org/10.1007/3-540-45706-2_46" @default.
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