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Optimization of Horizontal Aggregation in SQL by using C4.5 Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 13 |
| Year of Publication: 2014 |
| Authors: Priti Phalak, Rekha Sharma |
10.5120/16277-6048
|
Priti Phalak, Rekha Sharma . Optimization of Horizontal Aggregation in SQL by using C4.5 Algorithm. International Journal of Computer Applications. 93, 13 ( May 2014), 31-37. DOI=10.5120/16277-6048
Abstract
For efficient analysis of some data mining system and algorithms, data is required in the horizontal aggregated format. In a relational database, datasets are highly normalized and major efforts are required to compute aggregation when they are expected in horizontal form which is suitable for some data mining, statistical and machine learning algorithm. Query optimization techniques used for vertical (standard) aggregation is not suitable for horizontal aggregation. That's why we propose an optimization technique for horizontal aggregation. To optimize horizontal aggregation we are using C4. 5 classification algorithm and query evaluation methods. Horizontal Aggregation represents a template to generate SQL code which automates writing SQL queries, optimizing them, and testing them for correctness. It also reduces manual work in the data preparation phase in a data mining. There are various applications where the horizontal aggregation is used such as electrical billing, banks, hospital management system, pharmacy and online library etc.
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