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An Efficient Data Mining Dataset Preparation Using Aggregation in Relational Database


Affiliations
1 Department of CSE, B. I. S. T. (Bharath University), Chennai, India
 

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
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  • An Efficient Data Mining Dataset Preparation Using Aggregation in Relational Database

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Authors

S. Brintha Rajakumari
Department of CSE, B. I. S. T. (Bharath University), Chennai, India
C. Nalini
Department of CSE, B. I. S. T. (Bharath University), Chennai, India

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



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7iS5%2F54131