Application of self organizing map for knowledge discovery based in higher education data
This paper focuses on knowledge discovery among attributes of Iran Higher Education Institute using self organizing map (SOM); the key problem with massive volume of data is extracting knowledge and patterns that are hidden in data. Managerial needs to explore this data for the purpose of decision m...
Saved in:
Main Authors: | Sim, Alex Tze Hiang, Saadatdoost, Robab, Jafarkarimi, Hosein |
---|---|
Format: | Conference or Workshop Item |
Published: |
2011
|
Online Access: | http://eprints.utm.my/id/eprint/45604/ http://dx.doi.org/10.1109/ICRIIS.2011.6125693 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Knowledge discovery in higher education institutes
by: Saadatdoost, Robab, et al.
Published: (2014) -
Knowledge discovery in higher educational big dataset
by: Tze, Alex Hiang Sim, et al.
Published: (2013) -
A naive recommendation model for large databases
by: Jafarkarimi, Hosein, et al.
Published: (2012) -
Knowledge discovery for large databases in education institutes
by: Saadatdoost, Robab
Published: (2011) -
Exploring MOOC from education and information systems perspectives: a short literature review
by: Saadatdoost, Robab, et al.
Published: (2015)