An Efficient Data Mining Dataset Preparation using Aggregation in Relational Database

S  Brintha Rajakumari  and C  Nalini

doi:10.17485/ijst/2014/v7sp5.20

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An Efficient Data Mining Dataset Preparation using Aggregation in Relational Database

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7sp5.20

Year: 2020, Volume: 7, Issue: Supplementary 5, Pages: 44–46

Original Article

An Efficient Data Mining Dataset Preparation using Aggregation in Relational Database

S. Brintha Rajakumari* and C. Nalini

Department of CSE, B. I. S. T. (Bharath University), Chennai, India; brintha.ramesh@gmail.com, nalinicha2002@gmail.com

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

To prepare the data set from relational database management system for data mining is very difficult and time consuming task. These prepared data can be used as input in data mining analysis. But traditional structured query language aggregate function returns the records in one column per aggregated group. This paper presents the horizontal representation of data used for dataset preparation in data mining analysis and reduce memory space when evaluated with the cancer dataset.

Keywords: Aggregation, Data Mining