Decision Tree for data with Known Hierarchical Class Labels

  • Sachin Gavankar


Decision Tree classifier builds a classification model using training data. It consists of records having attribute values and corresponding class label. Very few algorithms deal with class labels that are organized as hierarchical structure. In this paper we propose a framework for decision trees which considering the prior knowledge of the class hierarchies in training data. Classification algorithm is applied multiple time to predict class label from higher level (coarse-grain) to lower level (fine-grain) by using respective training records.

Keywords: data mining; classification; decision tree; hierarchical class label


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How to Cite
Gavankar, S. (2018). Decision Tree for data with Known Hierarchical Class Labels. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). journals.v4iI.448
Computer Science and Engineering