Development of Prediction Model for Linked Data based on the Decision Tree

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
In this paper, the authors are trying to induce decision tree models to predict pc: numberOfTenders. Since the type of target attribute is non-negative integer value, they use the variance reduction as the at-tribute selection criteria. Input attributes are defined based on structure information of public contracts ontology. They use the description logic constructors to properly represent a meaning of structure information of training data. Among all instances of the contract class, they make 10 different input data sets through random sampling method.
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