Vol. 4 Issue 4
Year:2015
Issue:Sep-Nov
Title:Preparing Data Sets by Using Horizontal Aggregations in SQL for Data Mining Analysis
Author Name:K.Sentamilselvan, S.Vinoth Kumar and A.Jeevanantham
Synopsis:
Data Mining is one of the emerging fields in research. Preparing a Data set is one of the important tasks in Data Mining. To analyze data efficiently, Data Mining systems are widely using datasets with columns in horizontal tabular layout. Building a datasets for analysis is normally a most time consuming task. Existing SQL aggregations have limitation to build data sets because they return one column for aggregated group using group functions. A method is developed to generate SQL code to return aggregated columns in a horizontal tabular layout, returning a set of numbers instead of one number per row. This new class of functions are called horizontal aggregations. This method is termed as BY-LOGIC. SQL code generator generates automatic SQL code for producing horizontal aggregation. A fundamental method to evaluate horizontal aggregation called CASE (exploiting the case programming construct) is used. Basically, there are three parameters available namely: grouping, sub-grouping and aggregating fields for creating horizontal aggregation. Query evaluation shows that CASE method responses faster than BY-LOGIC method.
Year:2015
Issue:Sep-Nov
Title:Preparing Data Sets by Using Horizontal Aggregations in SQL for Data Mining Analysis
Author Name:K.Sentamilselvan, S.Vinoth Kumar and A.Jeevanantham
Synopsis:
Data Mining is one of the emerging fields in research. Preparing a Data set is one of the important tasks in Data Mining. To analyze data efficiently, Data Mining systems are widely using datasets with columns in horizontal tabular layout. Building a datasets for analysis is normally a most time consuming task. Existing SQL aggregations have limitation to build data sets because they return one column for aggregated group using group functions. A method is developed to generate SQL code to return aggregated columns in a horizontal tabular layout, returning a set of numbers instead of one number per row. This new class of functions are called horizontal aggregations. This method is termed as BY-LOGIC. SQL code generator generates automatic SQL code for producing horizontal aggregation. A fundamental method to evaluate horizontal aggregation called CASE (exploiting the case programming construct) is used. Basically, there are three parameters available namely: grouping, sub-grouping and aggregating fields for creating horizontal aggregation. Query evaluation shows that CASE method responses faster than BY-LOGIC method.
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