Horizontal Aggregation in SQL to Prepare Dataset for Generation of Decision Tree Using C4.5 Algorithm in Weka
In this paper, the authors are taking a database table, a database is an organized collection of data. They are performing a horizontal aggregation on that particular Database Table; there are three methods from which they are performing horizontal aggregation. These three methods give them the output as the dataset of that particular database table. A dataset is a collection of data, usually presented in tabular form. By providing these dataset as an input to the C 4.5 algorithm in WEKA, they are generating decision tree for that database table.