Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning
| Main Authors: | Muslihah Wook, Zawiyah M. Yusof, Mohd Zakree Ahmad Nazri |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2013
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1077595 |
| ctrlnum |
1077595 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Muslihah Wook</creator><creator>Zawiyah M. Yusof</creator><creator>Mohd Zakree Ahmad Nazri</creator><date>2013-02-25</date><description>Data mining has been integrated into application systems to enhance the quality of the decision-making process. This study aims to focus on the integration of data mining technology and Knowledge Management System (KMS), due to the ability of data mining technology to create useful knowledge from large volumes of data. Meanwhile, KMS vitally support the creation and use of knowledge. The integration of data mining technology and KMS are popularly used in business for enhancing and sustaining organizational performance. However, there is a lack of studies that applied data mining technology and KMS in the education sector; particularly students- academic performance since this could reflect the IHL performance. Realizing its importance, this study seeks to integrate data mining technology and KMS to promote an effective management of knowledge within IHLs. Several concepts from literature are adapted, for proposing the new integrative data mining technology and KMS framework to an IHL.</description><identifier>https://zenodo.org/record/1077595</identifier><identifier>10.5281/zenodo.1077595</identifier><identifier>oai:zenodo.org:1077595</identifier><language>eng</language><relation>doi:10.5281/zenodo.1077594</relation><relation>url:https://zenodo.org/communities/waset</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Data mining</subject><subject>Institutions of Higher Learning</subject><subject>Knowledge Management System</subject><subject>Students' academic performance.</subject><title>Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1077595</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Journal:Journal |
| author |
Muslihah Wook Zawiyah M. Yusof Mohd Zakree Ahmad Nazri |
| title |
Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning |
| publishDate |
2013 |
| topic |
Data mining Institutions of Higher Learning Knowledge Management System Students' academic performance |
| url |
https://zenodo.org/record/1077595 |
| contents |
Data mining has been integrated into application systems to enhance the quality of the decision-making process. This study aims to focus on the integration of data mining technology and Knowledge Management System (KMS), due to the ability of data mining technology to create useful knowledge from large volumes of data. Meanwhile, KMS vitally support the creation and use of knowledge. The integration of data mining technology and KMS are popularly used in business for enhancing and sustaining organizational performance. However, there is a lack of studies that applied data mining technology and KMS in the education sector; particularly students- academic performance since this could reflect the IHL performance. Realizing its importance, this study seeks to integrate data mining technology and KMS to promote an effective management of knowledge within IHLs. Several concepts from literature are adapted, for proposing the new integrative data mining technology and KMS framework to an IHL. |
| id |
IOS16997.1077595 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
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1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T03:49:49Z |
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2022-06-06T03:49:49Z |
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dc |
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1734900044489818112 |
| score |
17.538404 |