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A Study on Classification Approaches across Multiple Database Relations

by Dr. M. Thangaraj, C.R.Vijayalakshmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 12
Year of Publication: 2011
Authors: Dr. M. Thangaraj, C.R.Vijayalakshmi
10.5120/1740-2366

Dr. M. Thangaraj, C.R.Vijayalakshmi . A Study on Classification Approaches across Multiple Database Relations. International Journal of Computer Applications. 12, 12 ( January 2011), 1-6. DOI=10.5120/1740-2366

@article{ 10.5120/1740-2366,
author = { Dr. M. Thangaraj, C.R.Vijayalakshmi },
title = { A Study on Classification Approaches across Multiple Database Relations },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 12 },
number = { 12 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number12/1740-2366/ },
doi = { 10.5120/1740-2366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:31.364516+05:30
%A Dr. M. Thangaraj
%A C.R.Vijayalakshmi
%T A Study on Classification Approaches across Multiple Database Relations
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 12
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Classification is an important task in data mining and machine learning, which has been studied extensively and has a wide range of applications. Lots of algorithms have been proposed to build accurate and scalable classifiers. Most of these algorithms can only applied to single “flat“ relations, whereas in the real world most data are stored in multiple tables. As converting data from multiple relations into single flat relation usually causes many problems, development of classification across multiple database relations becomes important. In this paper, we present the several kinds of classification method across multiple database relations including Inductive Logic Programming (ILP) , Relational database , Emerging Pattern , Associative approaches and their characteristics, the comparisons in detail.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-relational classification inductive logic programming selection graph tuple ID propagation

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