Proceedings of the 3rd International Conference on Computer Science and Service System

<Previous Article In Volume
Next Article In Volume>

Data Mining as a Tool for Information Retrieval in Digital Institutional Repositories

Authors
Tonon Leticia, Fusco Elvis
Corresponding Author
Tonon Leticia
Available Online June 2014.
DOI
10.2991/csss-14.2014.41How to use a DOI?
Keywords
institutional digital repositories; information retrieval; data mining
Abstract

Currently there is a large volume of data stored in informational bases of digital repositories and the problem of finding useful data in information retrieval systems has intensified, making the processes of recovery increasingly sophisticated. This study aims to make use of data mining techniques to improve information retrieval in digital institutional repositories.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
978-94-6252-012-7
ISSN
1951-6851
DOI
10.2991/csss-14.2014.41How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Tonon Leticia
AU  - Fusco Elvis
PY  - 2014/06
DA  - 2014/06
TI  - Data Mining as a Tool for Information Retrieval in Digital Institutional Repositories
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 180
EP  - 183
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.41
DO  - 10.2991/csss-14.2014.41
ID  - Leticia2014/06
ER  -