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Efficient Tabular Dataset Preparations by the Aggregations in SQL: A Survey

by Jincy Annie V.v, J. A. M. Rexie
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 15
Year of Publication: 2012
Authors: Jincy Annie V.v, J. A. M. Rexie
10.5120/9358-3693

Jincy Annie V.v, J. A. M. Rexie . Efficient Tabular Dataset Preparations by the Aggregations in SQL: A Survey. International Journal of Computer Applications. 58, 15 ( November 2012), 17-20. DOI=10.5120/9358-3693

@article{ 10.5120/9358-3693,
author = { Jincy Annie V.v, J. A. M. Rexie },
title = { Efficient Tabular Dataset Preparations by the Aggregations in SQL: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 15 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number15/9358-3693/ },
doi = { 10.5120/9358-3693 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:36.167777+05:30
%A Jincy Annie V.v
%A J. A. M. Rexie
%T Efficient Tabular Dataset Preparations by the Aggregations in SQL: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 15
%P 17-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many data mining algorithms require the result to be transformed into tabular format. Tabular datasets are the suitable input for many data mining approaches. But the existing SQL aggregations cannot produce results in tabular form with more summarized details especially in horizontal tabular form. Here discuss several approaches to produce data sets in tabular format and also present an efficient method to produce results in horizontal tabular format. Alternative methods for the evaluation of new format are also shown here.

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Index Terms

Computer Science
Information Sciences

Keywords

Aggregations Vertical Aggregations Horizontal Aggregations Structured Query Language Dataset Preparation

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