Different Types of Layouts in SQL to Prepare Datasets & Reports
Preparing reports and dataset are difficult task in data mining. The authors proposed horizontal aggregations provide several unique features and advantages. First, they represent a template to generate SQL code from a data mining tool. Such SQL code automates writing SQL queries, optimizing them and testing them for correctness. This SQL code reduces manual work in the data preparation phase in a data mining project. Second, since SQL code is automatically generated it is likely to be more efficient than SQL code written by an end user. For instance, a person who does not know SQL well or someone who is not familiar with the database schema (e.g. a data mining practitioner). Therefore, data sets can be created in less time.